A system for authenticating a user comprises one or more memories comprising executable instructions and data and one or more processors configured to execute the executable instructions. The instructions, when executed, cause the one or more processors to send a login request for a user to a server over a network, the login request comprising a username and a password; in response to a successful login, send a request for location information associated with the user to the server over the network, the location information comprising a trusted user flag and a country of residence (COR); and in response to the trusted user flag indicating that the user is trusted, execute one or more features of an application.
Systems and methods are described for determining a reference blood glucose (RefBG) metric and for determining a medicament dose or dose adjustment for a subject based at least in part the reference blood glucose metric. The RefBG metric is based on continuous and/or intermittent glucose monitoring samples and can be derived from a specified time window of the samples. One or more additional metrics of a therapeutic performance of the subject may be modeled and used to establish a target value for the RefBG metric, which may be compared to historical RefBG values to determine dose values to be avoided in future updates of medicament doses.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
3.
PROXIMITY PAIRING AND SECURITY OF A CONTINUOUS ANALYTE SENSOR SYSTEM
Techniques and protocols for facilitating wireless secure communications between a sensor system and one or more other devices are disclosed. In certain embodiments, the techniques and protocols include secure proximity pairing techniques with reduced power. A method for pairing an analyte sensor system and one or more display devices includes broadcasting, from the analyte sensor system, for an initial connection, a low power general advertisement including an indication indicating the low power general advertisement is for proximity pairing. The method includes receiving, from a first display device, a connection request message in response to the low power general advertisement; performing an authentication procedure with the first display device; and pairing and bonding with the first display device based on successful authentication with the first display device.
Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
5.
BAYESIAN FRAMEWORK FOR PERSONALIZED MODEL IDENTIFICATION AND PREDICTION OF FUTURE BLOOD GLUCOSE IN TYPE 1 DIABETES USING EASILY ACCESSIBLE PATIENT DATA
A method of predicting future blood glucose concentrations of an individual patient includes: selecting an individualized nonlinear physiological model of glucose-insulin dynamics, the selected model having a plurality of model parameters whose values are to be determined; estimating values for each of the model parameters in the plurality of model parameters, a first subset of the model parameters having values estimated from a priori population data and a second subset of the model parameters having values personalized for the individual patient by applying a parameter estimation technique to a priori information and data for the individual patient to obtain a posteriori information; and; applying a nonlinear prediction technique to the selected model using the estimated values for each of the model parameters to obtain a predicted blood glucose concentration of the individual patient at a future time.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
6.
COMPATIBILITY CHECK FOR CONTINUOUS GLUCOSE MONITORING APPLICATION
Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06F 11/36 - Prevention of errors by analysis, debugging or testing of software
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
H04L 67/00 - Network arrangements or protocols for supporting network services or applications
H04M 1/724 - User interfaces specially adapted for cordless or mobile telephones
H04M 1/72403 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 50/00 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
8.
GENERATIVE ARTIFICIAL INTELLIGENCE VALIDATION PROCESS
In some aspects, a method of automated machine learning model validation. The method includes generating content using a machine leaning model. The method includes providing, to a grader machine learning model, the content along with a prompt instructing the grader machine learning model to evaluate the content according to one or more metrics, wherein the prompt includes, for each metric of the one or more metrics: a natural language definition of the metric; and one or more examples of content items that pass or fail the metric. The method includes receiving, from the grader machine learning model in response to the prompt, an evaluation of the content according to the one or more metrics. The method includes performing one or more actions related to the machine learning model based on the evaluation.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Examples of invasive biosensor alignment and retention features and methods are described. One example biosensor includes a housing comprising: a first surface defining a first opening, and a second surface opposite the first surface, the second surface defining a second opening, the first and second openings defining a substantially unobstructed pathway through the housing; a biosensor wire partially disposed within the housing and having an exterior portion extending through the first opening; a hollow insertion needle positioned within the pathway and extending through the first opening, the hollow insertion needle at least partially encircling the biosensor wire; and a biosensor retention feature collapsible against the first surface of the housing, the biosensor retention feature encircling and contacting the hollow insertion needle.
Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
User interfaces for glucose insight presentation are leveraged. A glucose monitoring application is configured to process glucose measurements to determine one or more glucose insights, e.g., about a user's glucose. The glucose measurements, for example, may be obtained from a glucose monitoring device that collects glucose measurements of the user at predetermined intervals, e.g., every five minutes. The glucose monitoring application configures a user interface, based on configuration data, to present one or more visual elements representative of the one or more glucose insights. For example, the glucose monitoring application may configure the user interface to include a visual element in the form of a color field which represents whether the user's current glucose measurement (e.g., the most recent glucose measurement obtained from the glucose monitoring device) is below, within, or above a glucose range.
Aspects of the present disclosure provide techniques for adapting an advertisement rate at which advertisement messages are transmitted by an analyte sensor system. An example method performed by the analyte sensor system includes transmitting first advertisement messages according to a first advertisement rate, establishing a connection with a display device based on the first advertisement messages, receiving, from the display device after establishing the connection, a message requesting the analyte sensor system use a second advertisement rate, determining the second advertisement rate based on the message, terminating the connection with the display device, transmitting, after the connection with the display device is terminated, second advertisement messages according to the second advertisement rate, and reestablishing the connection with the display device based on the second advertisement messages. Other aspects relate to adapting measurement data transmission rates and authentication/authorisation of display devices and encryption of (re-)established connections.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
H04L 69/28 - Timers or timing mechanisms used in protocols
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Electric potential signals are applied between a reference electrode and a working electrode of an analyte sensor to determine conditions that may impact the performance of the analyte sensor. At least one of alternating current techniques or direct current techniques may be implemented to detect conditions that impact the performance of the analyte sensor.
14.
ANALYTE SENSOR SYSTEM USING PHYSIOLOGIC RESISTANCE
Various examples are directed to analyte sensor systems and methods of use thereof. An analyte sensor system may comprise a first analyte sensor comprising a first electrode, a membrane positioned at least partially over the first electrode, and sensor electronics. The sensor electronics may be configured to provide an excitation signal between the first electrode and a second electrode. The analyte sensor system may be configured for the excitation signal to induce a current between the first electrode and the second electrode at least partially outside the membrane.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/053 - Measuring electrical impedance or conductance of a portion of the body
15.
CONTINUOUS GLUCOSE MONITOR COMMUNICATION WITH MULTIPLE DISPLAY DEVICES
A continuous glucose monitor for wirelessly transmitting data relating to glucose value to a plurality of displays is disclosed, as well as systems and methods for limiting the number of display devices that can connect to a continuous glucose transmitter. In addition, security, including hashing techniques and a changing application key, can be used to provide secure communications between the continuous glucose transmitter and the displays. Also provided is a continuous glucose monitor and techniques for authenticating multiple displays, providing secure data transmissions to multiple displays, and coordinating the interaction of commands and data updates between multiple displays.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G09G 5/00 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
H04W 76/11 - Allocation or use of connection identifiers
Certain aspects of the present disclosure relate to methods and systems for providing decision support around glucose management for patients with diabetes. Time-varying inputs including blood glucose, meal intake information, and amount of infused insulin are processed using a machine learning model to obtain predicted glucose levels for a plurality of prediction horizons and uncertainties for the predictions. A confidence interval is generated for each prediction and the confidence intervals are compared to hypo- and hyperglycemic thresholds. If a confidence interval is entirely below or entirely above the hypo- and hyperglycemic thresholds, respectively, then a decision support output is provided.
Examples are directed to analyte sensor systems and methods of use thereof. An analyte sensor system may include an analyte sensor configured to generate a raw sensor signal, and sensor electronics configured to generate analyte values from the raw sensor signal and perform operations. The operations may include determining, after insertion and during break-in of the analyte sensor, an impedance parameter of an analyte sensor a plurality of times to provide impedance measurements, determining during the break- in, using the impedance measurements, one or more conditions of the analyte sensor that affect an ability of the analyte sensor to accurately generate analyte values, determining whether the analyte sensor is ready to accurately generate analyte values in a sensing session based on the one or more conditions, and enabling the sensing session when the analyte sensor is determined to be ready to accurately generate analyte values.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
An unsupervised method of detecting a pressure induced sensor artifact (PISA) in an analyte signal includes receiving an analyte trace having a plurality of data samples obtained over a period of time. A plurality of predetermined features reflective of a PISA in the analyte trace is extracted to produce a plurality of data points in a feature space defined by the plurality of predetermined features. The data points in the feature space are analyzed using an unsupervised anomaly detection algorithm to produce an anomaly score for each of the data points. Data points that have an anomaly score that exceeds a threshold are identified. An alert is generated indicating that a PISA is present in data samples associated with the data points that have an anomaly score that exceeds the threshold.
In accordance with a method of detecting a pressure induced sensor artifact (PISA) in an analyte trace, a measured analyte trace having a plurality of data samples obtained over a period of time from an analyte sensor is received. A reconstructed analyte trace and an associated confidence window is generated from the measured analyte trace using a Bayesian denoising algorithm that includes a model that models the measured analyte trace as a sum of an unknown true analyte trace and a measurement error. The measured analyte trace is compared to the reconstructed analyte trace to identify data samples in the measured analyte trace that are located outside of the confidence window as being associated with a PISA.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
In an embodiment, a method of dynamically adapting analyte rate-of-change determination to a current patient context includes receiving, from a continuous analyte monitoring system, a plurality of analyte measurements of a patient. The method also includes automatically determining a current context for the patient based on the plurality of analyte measurements. The method also includes automatically configuring an analyte rate-of-change determination based on the current context. The method also includes generating a context-adapted rate-of-change measurement based on the automatically configured analyte rate-of-change determination and the plurality of analyte measurements.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
22.
OPTIMIZED TRANSMISSION OF ANALYTE DATA IN MULTI-RECEIVER ENVIRONMENTS
In an embodiment, one general aspect includes a method of optimizing data transmission from a device to a remote target. The method includes receiving analyte measurements from a continuous analyte monitoring (CAM) system. The method also includes determining a current status of a connection between the device and the CAM system. The method also includes conditionally transmitting data related to the analyte measurements over a network to a remote target based on the current status of the connection.
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
23.
OPTIMIZING EVENT IDENTIFICATION BY PERFORMING PATIENT-SPECIFIC ANALYTE DATA TRANSFORMS
In an embodiment, a method of optimizing analyte event identification includes receiving, from a continuous analyte monitoring system, first analyte measurements determined for a patient during a first time period. The method also includes transforming the first analyte measurements into first relevance metrics that each indicate a probability of an occurrence of a defined analyte event during the first time period. The method also includes generating a personalized analyte signature for the patient for the first time period based on the first relevance metrics. The method also includes automatically identifying one or more analyte events for the patient based on an evaluation of additional analyte measurements determined for the patient relative to the personalized analyte signature for the patient.
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
24.
SYSTEMS FOR DETERMINING SIMILARITY OF SEQUENCES OF GLUCOSE VALUES
In implementations of systems for determining a similarity of sequences of glucose values, a computing device implements a similarity system to receive input data describing a sequence of user glucose values measured by a continuous glucose monitoring (CGM) system. The similarity system computes similarity scores for a plurality of sequences of glucose values by comparing each glucose values included in the sequence of user glucose values with ever glucose value included in each sequence of the plurality of sequences. A particular sequence of glucose values that is associated with a highest similarity score is identified. The similarity system determines an externality associated with the particular sequence. The similarity system generates an indication of the externality for display in a user interface.
Various examples are directed to systems and methods for generating an estimated analyte value. An analyte sensor system may access a first sensor signal from an in vivo analyte sensor and a first temperature signal from the ex vivo temperature sensor. The analyte sensor system may generate a first analyte sensor temperature based at least in part on the first temperature signal and generate a first estimated analyte value based at least in part on the first sensor signal and the first temperature-compensated sensitivity.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means
26.
SEAMLESS AND CONTINUOUS AUTHENTICATION OF PATIENTS
Systems, techniques, and devices for performing passive continuous authentication of a user of display device are disclosed. In certain embodiments, the techniques include obtaining first information including at least one of (i) non-analyte sensor data from one or more sensors of a display device or (ii) analyte sensor data from an analyte sensor system. The techniques further include authenticating an identity of the user of the display device at a first point in time and based on the first information. The techniques further include allowing the user of the display device to access a medical device software running on the display device without prompting the user for authentication information, upon determining that the authentication at the first point in time is successful.
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
27.
DIABETES MANAGEMENT PARTNER INTERFACE FOR WIRELESS COMMUNICATION OF ANALYTE DATA
Systems, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1495 - Calibrating or testing in vivo probes
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
Various examples are directed to analyte sensor systems and methods. For example, an analyte sensor system may comprise an analyte sensor to generate a raw sensor signal, a temperature sensor positioned remote from the analyte sensor and configured to generate a raw temperature signal, and sensor electronics. The sensor electronics may generate a desired sensor signal and generate an analyte concentration based at least in part on the desired sensor signal. The generating of the desired sensor signal may be based at least in part on the raw temperature signal.
Various examples are directed to analyte sensor systems and methods of using analyte sensor systems. For example, it may be determined that an analyte sensor of the analyte sensor system was inserted into an interstitial region of a host at an insertion time. After the insertion time, a first value of a raw sensor signal generated by the analyte sensor may be sampled. A first estimated interstitial analyte concentration may be determined based on the first value of the raw sensor signal. An offset value may be added to the first estimated interstitial analyte concentration to generate a first estimated blood analyte concentration for the host.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
31.
SENSOR SYSTEM WITH IMPROVED GLUCOSE VALUE ESTIMATES
An analyte sensor system may include an analyte sensor configured to generate a raw sensor signal associated with an analyte concentration of a host. Sensor electronics may be configured to generate estimated analyte values from the raw sensor signal, determine a rate of change for the estimated analyte values or the raw signal, determine a working electrode temperature, and determine an elapsed time since sensor insertion. The sensor electronics may improve sensor performance by determining a prediction horizon as a function of at least one of the elapsed time and the working electrode temperature, determining a time-lag- compensated estimated analyte value for one of the estimated analyte values as a function of the determined prediction horizon and the rate-of-change, and adjusting estimated analyte values by applying a correction that is a function of the estimated analyte values.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Various examples are directed to a glucose sensor comprising a working electrode to support an oxidation reaction and a reference electrode to support a redox reaction. The reference electrode may comprise silver and silver chloride. The Glucose sensor may also comprise an anti-mineralization agent positioned at the reference electrode to reduce formation of calcium carbonate at the reference electrode.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means
C09D 133/08 - Homopolymers or copolymers of acrylic acid esters
G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells
Certain aspects of the present disclosure relate to methods and systems for calibrating a continuous analyte sensor system while considering the effects or influence of manufacturing conditions experienced by a sensor. In certain aspects, the system determines a sensitivity value for the analyte sensor system and determines, based on the sensitivity value and a manufacturing parameter representing a condition experienced by the analyte sensor system during manufacturing of the analyte sensor system, a calibration parameter for the analyte sensor system. The system also configures the analyte sensor system to convert an electrical current generated by the analyte sensor system into an analyte concentration using the calibration parameter.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
34.
TEMPERATURE CHARACTERISTIC TO PREDICT PROGRESSIVE SENSOR DECLINE
Described is a system for detecting the onset of Progressive Sensor Decline (PSD) by receiving a first analyte signal associated with a raw analyte measurement of a host from an analyte sensor within a first time period; receiving a first temperature signal associated with a first temperature measurement of the host from a temperature sensor within the first time period; determining a first relationship between the first analyte signal and the first temperature signal; receiving a second analyte signal associated with a raw analyte measurement of the host from the analyte sensor within a second time period; receiving a second temperature signal associated with a second temperature measurement of the host from the temperature sensor within the second time period; determining a second relationship between the second analyte signal and the second temperature signal; and determining an onset of sensor sensitivity degradation of the analyte sensor based on the first and second relationships.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
Described is a system for an adaptive filter for removing temperature- related artifacts by generating a first raw analyte signal associated with an analyte measurement of a host within a first time period; generating a first temperature signal associated with a first temperature measurement of the host within the first time period: detecting a temperature characteristic in the temperature signal exceeding a predetermined threshold; applying the analyte signal and the temperature signal to an adaptive filter to dynamically update filter coefficients based on the analyte signal and the temperature signal; applying the updated filter coefficients to a signal filter to generate a corrective signal; and generating a corrected analyte signal by applying the corrective signal to the analyte signal.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
36.
Display screen or portion thereof with graphical user interface
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
38.
TRANSCUTANEOUS ANALYTE SENSORS, APPLICATORS THEREFOR, AND ASSOCIATED METHODS
The present embodiments relate generally to systems and methods for measuring an analyte in a host. More particularly, the present embodiments provide sensor applicators and methods of use with activation that implant the sensor, withdraw the insertion needle, engage the transmitter with the housing, and disengage the applicator from the housing. Systems and methods according to present principles allow for such steps to occur without significant loss of spring force, and without deleterious effects such as seal slingshotting.
The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a method includes preparing data including glucose levels using a continuous glucose sensor unit; wirelessly transmitting the data relating to the glucose levels to a display device from the continuous glucose sensor unit; automatically forwarding the data relating to the glucose levels from the display device to a cloud computing architecture; and storing the data relating to the glucose levels in separate groups at the cloud computing architecture.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
40.
SYSTEM AND METHOD FOR DATA ANALYTICS AND VISUALIZATION
Systems and methods are described for interfacing a computing device and a user to display data pertaining to user intake of a substance or user glucose concentration values. . The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, a screen for display has a indicator to indicate how the user intake of a substance tends to increase or decrease analyte concentration values or glucose concentration values.
The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
Techniques and protocols for establishing secure communications between a display device, a sensor system, and a server system are disclosed. In certain embodiments, the techniques and protocols include secure diabetes device identification techniques and protocols, user-centric mutual authentication techniques and protocols, and device-centric mutual authentication techniques and protocols.
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
Aspects of the present disclosure provide techniques for measuring an ion concentration level of a user of a wearable device. An example method performed by the wearable device includes applying, using a potentiostat of the wearable device, a bias voltage to an ion selective electrode (ISE) of a transcutaneous ion sensor of the wearable device, measuring a current associated with the ISE of the transcutaneous ion sensor, adjusting the bias voltage based on the measured current associated with the ISE until the measured current is within a threshold range, determining, based at least in part on the measured current, the ion concentration level of the user, and transmitting an indication of the ion concentration level of the user to a display device for display to the user.
The present embodiments relate generally to systems and methods for measuring an analyte in a host. More particularly, the present embodiments provide sensor applicators and methods of use to insert the sensor into an individual's skin. Applicators are disclosed for inserting the sensor. Such applicators may be reusable applicators configured to implant multiple different sensors.
This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
47.
ARTIFICIAL INTELLIGENCE SYSTEM FOR MANAGING ANALYTE CONCENTRATIONS
The present disclosure relates to an analyte monitoring system that implements various features using artificial intelligence to assist the user in addressing or remediating metabolic events. For example, the system analyze images or text narratives using artificial intelligence to detect user actions and link the user actions to metabolic events. As another example, the system may use artificial intelligence to provide recommendations or responses to users. The system may use artificial intelligence to predict meal duration, and the system may group data to reduce input data to a machine learning model.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Various examples are directed to systems and methods for generating a bolus dose for a host. A bolus application may display a first bolus configuration parameter question at a user interface and receive, through the user interface, a first answer to the first bolus configuration parameter question. The first answer may describe a previous bolus determination technique of the host. The bolus application may select a second bolus configuration parameter question using the first answer and provide the second bolus configuration parameter question at the user interface. The bolus application may determine a set of at least one bolus configuration parameter using the first answer and a second answer to the second bolus configuration parameter question.
A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
49.
TIME SYNCHRONIZATION TECHNIQUES FOR ANALYTE SENSOR SYSTEM
Aspects of the present disclosure provide an analyte sensor system, including a transcutaneous analyte sensor an analog front end (AFE), and a micro controller unit (MCU). The AFE may be configured to perform, using the transcutaneous analyte sensor, one or more measurements associated with a user during at least a first measurement interval and perform one or more actions to maintain time synchronization associated with the MCU retrieving the one or more measurements from the AFE. The MCU may be configured to operate in a sleep mode during the at least the first measurement interval, exit the sleep mode and retrieve the one or more measurements for the first measurement interval from the AFE based on the one or more actions, and transmit data associated with the one or more measurements to a display device for display to the user.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
50.
SYSTEM AND METHODS FOR COMPLETING AND SMOOTHING ANALYTE SENSOR SYSTEM SIGNALS
The present disclosure relates to an analyte monitoring system for completing and smoothing analyte sensor signals. The system includes an analyte sensor system, a memory, and a processor. The processor detects a first gap in a time series of analyte sensor measurements from the analyte sensor system. The first gap is between a first data point in the time series and a second data point in the time series. The processor interpolates between the first data point and the second data point to determine a fill data point and adds the fill data point to the first gap. The processor determines an average of at least (i) a value of the first data point, (ii) the fill data point, and (iii) a third data point preceding the first data point in the time series and sets the value of the first data point to the determined average.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
In some aspects, a method of enhancing security of a computing application. The method includes establishing, by a debugger blocking module of the computing application, a connection to a debugger port associated with the computing application to block other connections to the debugger port. The method further includes determining, by a bypass check module of the computing application, that the debugger blocking module has been modified. The method further includes, responsive to the determining that the debugger blocking module has been modified, performing, by the computing application, one or more actions to protect the computing application from debugger access.
G06F 21/51 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability
G06F 21/55 - Detecting local intrusion or implementing counter-measures
52.
RAPID DETECTION OF HYPOGLYCEMIA INCIDENCE USING CONTINUOUS GLUCOSE MONITORING
Certain aspects of the present disclosure provide systems and techniques for rapid detection of repetitive metabolic events in a host based on measured analyte data provided by an analyte monitor worn by the host. An example system is configured to obtain measured glucose data of the host. A subset of the measured glucose data is determined, based on performing a filtering operation on the measured glucose data. A respective range of a likelihood of an occurrence of a metabolic is determined for each value within the subset of the measured glucose data. For at least one value within the subset of the measured glucose data, a state of the metabolic event is determined based in part on at least one of an upper bound or a lower bound of the respective range corresponding to the at least one value within the subset of the measured glucose data.
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
53.
SYSTEM AND METHODS FOR DETECTING, ANALYZING, AND PRESENTING METABOLIC EVENTS
The present disclosure relates to an analyte monitoring system that implements multiple features to improve or augment metabolic event detection, analysis, and presentation. For example, the analyte monitoring system may implement personalized thresholds and detect patterns of significant metabolic events. The analyte monitoring system may also determine spike impact and link events to actions or behaviors. Additionally, the analyte monitoring system may implement a user interface for presenting information about metabolic events.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
54.
RAPID DETECTION OF HYPOGLYCEMIA INCIDENCE USING CONTINUOUS GLUCOSE MONITORING
Certain aspects of the present disclosure provide systems and techniques for rapid detection of repetitive metabolic events in a host based on measured analyte data provided by an analyte monitor worn by the host. An example system is configured to obtain measured glucose data of the host. A subset of the measured glucose data is determined, based on performing a filtering operation on the measured glucose data. A respective range of a likelihood of an occurrence of a metabolic is determined for each value within the subset of the measured glucose data. For at least one value within the subset of the measured glucose data, a state of the metabolic event is determined based in part on at least one of an upper bound or a lower bound of the respective range corresponding to the at least one value within the subset of the measured glucose data.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
55.
SYSTEM AND METHODS FOR COMPLETING AND SMOOTHING ANALYTE SENSOR SYSTEM SIGNALS
The present disclosure relates to an analyte monitoring system for completing and smoothing analyte sensor signals. The system includes an analyte sensor system, a memory, and a processor. The processor detects a first gap in a time series of analyte sensor measurements from the analyte sensor system. The first gap is between a first data point in the time series and a second data point in the time series. The processor interpolates between the first data point and the second data point to determine a fill data point and adds the fill data point to the first gap. The processor determines an average of at least (i) a value of the first data point, (ii) the fill data point, and (iii) a third data point preceding the first data point in the time series and sets the value of the first data point to the determined average.
Certain embodiments herein relate to a physiological parameter monitoring system. The system may include a sensor and sensor electronics connectable to the sensor. The system may also include a transmitter operably connected to the sensor electronics, the transmitter having or being configured to have at least a portion thereof positioned at a first location adjacent to and/or in contact with an external surface of a body of a host during a sensor session, the transmitter further configured to wirelessly transmit sensor information using human body communication. The system may further include a first display device comprising a display and a receiver, the receiver having or being configured to have at least a portion thereof positioned at a second location adjacent to and/or in contact with the external surface of the body during the sensor session, the receiver further configured to receive sensor information from the transmitter using human body communication.
H04B 13/00 - Transmission systems characterised by the medium used for transmission, not provided for in groups
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
57.
IMPROVING AN ACCURACY OF GLUCOSE PREDICTIONS FOR PATIENTS BY FACILITATING SUBMISSION OF CONTEXTUAL DATA
In an embodiment, a method includes receiving analyte measurements of a patient for a time period. The method further includes providing, to a user, an interface for supplying contextual data indicative of contextual events for the time period and receiving the contextual data via the provided interface. The method further includes analyzing the analyte measurements and the contextual events to determine a condensed timeline of patient data for the time period, the condensed timeline of patient data including a partial subset of the contextual events. The method further includes presenting information related to the condensed timeline to the patient.
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
58.
SYSTEMS AND METHODS FOR SECURING A CONTINUOUS ANALYTE SENSOR TO A HOST
Adhesive pad systems that provide longer lasting adherence of the mounting unit to the host's skin are provided. Some systems include a reinforcing overlay that at least partially covers the adhesive pad. The reinforcing overlay may be removable without disturbing the sensor so that the overlay may be replaceable.
Detection of anomalous computing environment behavior using glucose is described. An anomaly detection system receives glucose measurements and event records during a first time period. Missing events that are missing from the event records during the first time period are identified by processing the glucose measurements using an event engine simulator. An anomaly detection model is generated based on the missing events during the first time period. Subsequently, the anomaly detection system receives additional glucose measurements and additional event records during a second time period. Missing events that are missing from the additional event records during the second time period are identified by processing the additional glucose measurements using the event engine simulator. Anomalous behavior is detected if the identified missing events that are missing from the event records during the second time period are outside a predicted range of missing events of the anomaly detection model.
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Disclosed are devices for determining an analyte concentration. The devices comprise a sensor configured to generate a signal associated with a concentration of an analyte and an electronics unit operatively connected to the sensor. The electronics unit may be engaged with a housing that may secure the device to a host's skin. In this regard, in one embodiment, the housing may be attached to an adhesive patch that is fastened to the skin of the host.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61K 31/045 - Hydroxy compounds, e.g. alcoholsSalts thereof, e.g. alcoholates
A61K 31/137 - Arylalkylamines, e.g. amphetamine, epinephrine, salbutamol, ephedrine
A61K 31/46 - 8-Azabicyclo [3.2.1] octaneDerivatives thereof, e.g. atropine, cocaine
C12N 11/08 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer
C12N 11/089 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds
C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
G01N 27/40 - Semi-permeable membranes or partitions
G01N 33/66 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving blood sugars, e.g. galactose
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Providing information about technology used for health, medical, and disease monitoring and treatment; providing information in the field of medical technology and medical apparatus and instruments
62.
SYSTEMS AND METHODS FOR POTENTIOMETRIC-BASED ANALYTE MEASUREMENTS
Aspects of the present disclosure provide a wearable device for potentiometric-based analyte measurements. The wearable device includes a transcutaneous analyte sensor configured to perform potentiometric-based measurements of an analyte concentration level of a user. The transcutaneous analyte sensor includes a working electrode for receiving a first input signal and a reference electrode for receiving a second input signal. The wearable device also include one or more operational amplifiers configured to receive the first input signal and the second input signal and output an output signal representing a differential between the first input signal and second input signal. Additionally, the wearable device includes an analog to digital converter (ADC) configured to convert the output signal to a digital signal and one or more processors configured to receive the digital signal from the ADC and process the digital signal to determine the analyte concentration level of the user.
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1495 - Calibrating or testing in vivo probes
63.
DATA BACKFILLING FOR CONTINUOUS GLUCOSE MONITORING
Methods and apparatus, including computer program products, are provided for backfilling. In some example embodiments, there is provided a method that includes receiving, at a receiver, backfill data representative of sensor data stored, at a continuous blood glucose sensor and transmitter assembly, due to a loss of a wireless link between the receiver and the continuous blood glucose sensor and transmitter assembly; generating, at the receiver, at least one of a notification or a graphically distinct indicator for presentation at a display of the receiver, the at least one of the notification or the graphically distinct indicator enabling the backfill data to be graphically distinguished, when presented at the display, from non-backfill data; and generating, at the receiver, a view including the backfill data, the non-backfill data, and the generated at least one of the notification or the graphically distinct indicator. Related systems, methods, and articles of manufacture are described.
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
G09G 5/377 - Details of the operation on graphic patterns for mixing or overlaying two or more graphic patterns
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
H04W 12/02 - Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
H04W 12/033 - Protecting confidentiality, e.g. by encryption of the user plane, e.g. user’s traffic
Systems and method are described for determining if a decision support recommendation is to be presented to a user for treatment of a diabetic state, including receiving a plurality of input data items impacting a diabetic state of a user of continuous glucose monitor, the input data items serving as input data to a process for determining a decision support recommendation; assigning a reliability level to each of the input data items; calculating a reliability metric based on the reliability levels assigned to each of the input data items; determining a decision support recommendation based on the process and the input data and presenting the decision support recommendation to the user on a user interface only if the reliability metric exceeds a threshold.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
65.
ANALYTE SENSOR SYSTEM LONG TERM DRIFT COMPENSATION
Certain embodiments provide a method for analyte sensor system long term drift compensation. The method may include generating calibration data for an analyte sensor in a group of analyte sensors, generating long term drift data based on one or more of the analyte sensors in the group, predicting an initial model sensitivity and a final model sensitivity for the analyte sensors in the group based on the calibration data and a model that is trained based on the calibration data for the analyte sensors in the group and the long term drift data, determining an initial in vivo sensitivity and a final in vivo sensitivity for the analyte sensor based on the initial model sensitivity and final model sensitivity, and storing the initial in vivo sensitivity and the final in vivo sensitivity in a memory of the analyte sensor.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
66.
SYSTEMS AND METHOD FOR ACTIVATING ANALYTE SENSOR ELECTRONICS
Various analyte sensor systems for controlling activation of analyte sensor electronics circuitry are provided. Related methods for controlling analyte sensor electronics circuitry are also provided. Various analyte sensor systems for monitoring an analyte in a host are also provided. Various circuits for controlling activation of an analyte sensor system are also provided. Analyte sensor systems utilizing a state machine having a plurality of states for collecting a plurality of digital counts and waking a controller responsive to a wake up signal are also provided. Related methods for such analyte sensor systems are also provided. Systems for controlling activation of analyte sensor electronics circuitry utilizing a magnetic sensor are further provided. One or more display device configured to display one or more analyte concentration values are also provided.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/1495 - Calibrating or testing in vivo probes
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
68.
DYNAMICALLY MANAGING TREATMENT OF PARKINSON'S DISEASE
In some embodiments, a system includes a processor in data communication with a memory having executable instructions. The processor is configured to execute the executable instructions to identify a current levodopa (L-DOPA) level in a patient's system and to determine an impact of the current L-DOPA level on the patient. The processor is also configured to execute the executable instructions to adjust a dosage of L-DOPA administered to the patient based on the current L-DOPA level and the impact.
Disclosed herein are devices, systems, and methods for a continuous analyte sensor, such as a continuous glucose sensor. In certain embodiments disclosed herein, various in vivo properties of the sensor's surroundings can be measured. In some embodiments, the measured properties can be used to identify a physiological response or condition in the body. This information can then be used by a patient, doctor, or system to respond appropriately to the identified condition.
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1459 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters invasive, e.g. introduced into the body by a catheter
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
70.
CONTINUOUS ANALYTE SENSORS AND METHODS OF MAKING SAME
Described here are embodiments of processes and systems for the continuous manufacturing of implantable continuous analyte sensors. In some embodiments, a method is provided for sequentially advancing an elongated conductive body through a plurality of stations, each configured to treat the elongated conductive body. In some of these embodiments, one or more of the stations is configured to coat the elongated conductive body using a meniscus coating process, whereby a solution formed of a polymer and a solvent is prepared, the solution is continuously circulated to provide a meniscus on a top portion of a vessel holding the solution, and the elongated conductive body is advanced through the meniscus. The method may also comprise the step of removing excess coating material from the elongated conductive body by advancing the elongated conductive body through a die orifice. For example, a provided elongated conductive body 510 is advanced through a pre-coating treatment station 520, through a coating station 530, through a thickness control station 540, through a drying or curing station 550, through a thickness measurement station 560, and through a post-coating treatment station 570.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
B05C 3/02 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material
B05C 3/10 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating separate articles the articles being moved through the liquid or other fluent material
B05C 3/12 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating work of indefinite length
B05C 5/02 - Apparatus in which liquid or other fluent material is projected, poured or allowed to flow on to the surface of the work from an outlet device in contact, or almost in contact, with the work
B05D 1/18 - Processes for applying liquids or other fluent materials performed by dipping
B05D 3/06 - Pretreatment of surfaces to which liquids or other fluent materials are to be appliedAfter-treatment of applied coatings, e.g. intermediate treating of an applied coating preparatory to subsequent applications of liquids or other fluent materials by exposure to radiation
B23K 26/08 - Devices involving relative movement between laser beam and workpiece
C23C 2/00 - Hot-dipping or immersion processes for applying the coating material in the molten state without affecting the shapeApparatus therefor
71.
SYSTEMS AND METHODS FOR MONITORING AND MANAGING LIFE OF A BATTERY IN AN ANALYTE SENSOR SYSTEM WORN BY A USER
Systems and methods for analyte monitoring, particularly systems and methods for monitoring and managing life of a battery in an analyte sensor system worn by a user, are provided.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G08B 25/10 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
75.
TRANSCUTANEOUS ANALYTE SENSORS AND MONITORS, CALIBRATION THEREOF, AND ASSOCIATED METHODS
Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.
Aspects of the present disclosure provide techniques for issuing application- centric certificates for a health monitoring application of a display device to allow anonymous users or users managed by a third-party organization to operate an analyte sensor system. An example method includes obtaining a set of credentials for an account provisioned without personal identification information of a user associated with the analyte sensor system, wherein the account is provisioned on an centralized account management services (CAMS) entity associated with a manufacturer of the analyte sensor system, sending, to a trusted identity provider (IdP) entity, the set of credentials for the account, obtaining, from the IdP entity, an access token, sending, to a certificate management system (CMS) entity, the access token and a signed message including a certificate signing request (CSR) and identity information for the health monitoring application, and obtaining the application-centric certificate for the health monitoring application.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
77.
SYSTEMS AND METHODS FOR ENSURING AN ACCURACY OF AN ANALYTE DEVICE BY PERFORMING ALERT STATE BACKFILLING
The present disclosure provides systems, methods, and devices for recovery and/or adjustment of an alert state of a continuous analyte monitoring system following signal loss events associated with wireless connections between an analyte sensor system and a display device. Certain embodiments of the present disclosure describe a continuous analyte monitoring system that may retrospectively analyze cached backfill data and update a current alert state and associated conditions and/or settings on a display device after a signal loss event according to one or modes of operation.
Glucose measurement and glucose-impacting event prediction using a stack of machine learning models is described. A CGM platform includes stacked machine learning models, such that an output generated by one of the machine learning models can be provided as input to another one of the machine learning models. The multiple machine learning models include at least one model trained to generate a glucose measurement prediction and another model trained to generate an event prediction, for an upcoming time interval. Each of the stacked machine learning models is configured to generate its respective output when provided as input at least one of glucose measurements provided by a CGM system worn by the user or additional data describing user behavior or other aspects that impact a person's glucose in the future. Predictions may then be output, such as via communication and/or display of a notification about the corresponding prediction.
Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1495 - Calibrating or testing in vivo probes
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
80.
METHODS FOR PROVIDING AN ALERT OR AN ALARM TO A USER OF A MOBILE COMMUNICATIONS DEVICE
Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
G08B 25/08 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
H04M 1/72409 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
H04W 12/084 - Access security using delegated authorisation, e.g. open authorisation [OAuth] protocol
81.
SYSTEMS AND METHODS FOR ENSURING AN ACCURACY OF AN ANALYTE DEVICE BY PERFORMING ALERT STATE BACKFILLING
The present disclosure provides systems, methods, and devices for recovery and/or adjustment of an alert state of a continuous analyte monitoring system following signal loss events associated with wireless connections between an analyte sensor system and a display device. Certain embodiments of the present disclosure describe a continuous analyte monitoring system that may retrospectively analyze cached backfill data and update a current alert state and associated conditions and/or settings on a display device after a signal loss event according to one or modes of operation.
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable computer software for analyzing glucose data
obtained from medical sensors implanted or inserted into the
human body, generating insulin dosage recommendations and
related alerts, and providing clinical decision support to
users.
H04M 1/72454 - User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
84.
SYSTEMS AND METHODS FOR PROCESSING AND TRANSMITTING SENSOR DATA
Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are provided. The data can be displayed on a hand-held display device having a display such as a key fob device including a user interface, such as an LCD and one or more buttons allows a user to view data, and a physical connector, such as USB port.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/62 - Establishing a time schedule for servicing the requests
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Aspects of the present disclosure provide an analyte sensor system. The analyte sensor system may include an analyte sensor configured to measure analyte levels of the user, a stamp antenna configured to transmit data indicative of the measured analyte levels, a printed circuit board (PCB) that operatively connects the analyte sensor to the stamp antenna, and a housing that encases at least the stamp antenna, the PCB, and a first portion of the analyte sensor. The housing may have a bottom portion through which a second portion of the analyte sensor protrudes to an exterior of the housing of the analyte sensor system. The bottom portion of the housing may be configured to be attached to a body of the user. The stamp antenna may be disposed on a bottom side of the PCB facing the bottom portion of the housing.
Certain aspects of the present disclosure provide a monitoring system comprising one or more memories comprising executable instructions and one or more processors in data communication with the one or more memories and configured to execute the executable instructions to calculate a first reabsorption threshold based on glucose measurements and 1,5-AG measurements of a patient over a first period of time and calculate a second reabsorption threshold based on the glucose measurements and the 1,5-AG measurements of the patient over a second period of time. The one or more processors are further configured to detect a change of the second reabsorption threshold relative to the first reabsorption threshold; determine whether the change of the second reabsorption threshold relative to the first reabsorption threshold is an increase or a decrease; and provide therapy management guidance to the patient based on the increase or the decrease.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable computer software for analyzing glucose data
obtained from medical sensors implanted or inserted into the
human body, generating insulin dosage recommendations and
related alerts, and providing clinical decision support to
users.
88.
SYSTEMS AND METHODS FOR DYNAMICALLY AND INTELLIGENTLY MONITORING A HOST’S GLYCEMIC CONDITION USING STATE TRANSITIONS
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
89.
AUTOMATIC ANALYTE SENSOR CALIBRATION AND ERROR DETECTION
Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.
Aspects of the present disclosure provide an analyte sensor system. The analyte sensor system may include an analyte sensor configured to measure analyte levels of the user, a stamp antenna configured to transmit data indicative of the measured analyte levels, a printed circuit board (PCB) that operatively connects the analyte sensor to the stamp antenna, and a housing that encases at least the stamp antenna, the PCB, and a first portion of the analyte sensor. The housing may have a bottom portion through which a second portion of the analyte sensor protrudes to an exterior of the housing of the analyte sensor system. The bottom portion of the housing may be configured to be attached to a body of the user. The stamp antenna may be disposed on a bottom side of the PCB facing the bottom portion of the housing.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
H01Q 7/00 - Loop antennas with a substantially uniform current distribution around the loop and having a directional radiation pattern in a plane perpendicular to the plane of the loop
Systems, devices, and methods are disclosed for wireless communication of analyte data. One such method includes, during a first interval, establishing a first connection between an analyte sensor system and a display device. During the first connection, the method includes exchanging information related to authentication between the analyte sensor system and the display device. The method includes making a determination regarding whether authentication was performed during the first interval. During a second interval, the method may include establishing a second connection between the analyte sensor system and the display device for transmission of an encrypted analyte value, and bypassing the exchanging of information related to authentication performed during the first connection. The method also includes, during the second interval, the analyte sensor system transmitting the encrypted analyte value to the display device, if the determination indicates that the authentication was performed during the first interval.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
H04B 17/23 - Indication means, e.g. displays, alarms or audible means
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
H04W 12/04 - Key management, e.g. using generic bootstrapping architecture [GBA]
Disclosed are devices for determining an analyte concentration (e.g., glucose). The devices comprise a sensor configured to generate a signal associated with a concentration of an analyte and a sensing membrane located over the sensor. The sensing membrane comprises an enzyme layer, wherein the enzyme layer comprises an enzyme and a polymer comprising polyurethane and/or polyurea segments and one or more zwitterionic repeating units. The enzyme layer protects the enzyme and prevents it from leaching from the sensing membrane into a host or deactivating.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61K 31/045 - Hydroxy compounds, e.g. alcoholsSalts thereof, e.g. alcoholates
A61K 31/137 - Arylalkylamines, e.g. amphetamine, epinephrine, salbutamol, ephedrine
A61K 31/46 - 8-Azabicyclo [3.2.1] octaneDerivatives thereof, e.g. atropine, cocaine
C12N 11/08 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer
C12N 11/089 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds
C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
G01N 27/40 - Semi-permeable membranes or partitions
G01N 33/66 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving blood sugars, e.g. galactose
93.
SYSTEMS AND METHODS FOR PROVIDING THERAPY MANAGEMENT GUIDANCE FOR DIAGNOSIS AND MANAGEMENT OF KIDNEY DISEASE
Certain aspects of the present disclosure provide a monitoring system comprising a continuous analyte sensor configured to penetrate a skin of a patient and generate a sensor current indicative of analyte levels of the patient, and a sensor electronics module coupled to the continuous analyte sensor. The sensor electronics module comprises an analog to digital converter configured to receive the sensor current and convert the sensor current generated by the continuous analyte sensor into digital signals, a processor configured to convert the digital signals to a set of analyte measurements indicative of the analyte levels of the patient, and a Bluetooth antenna configured to transmit the set of analyte measurements wirelessly to a wireless communications device using Bluetooth or BLE communications protocols.
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1495 - Calibrating or testing in vivo probes
Some examples herein provide a wearable device for sensing a concentration of an analyte and delivering a therapeutic agent. A sensor is configured to extend fully through stratum corneum, epidermis, and dermis and partially into subcutaneous tissue, and includes a distal end configured to be located within the subcutaneous tissue. A reservoir is configured to contact the stratum corneum and includes a polymer complexed with the drug. Control electronics coupled to the sensor's proximal end of the sensor include first and second electrodes, and are configured to receive a signal from the sensor's distal end corresponding to the concentration of the analyte within the subcutaneous tissue. Control electronics determine, using the signal, electrical stimulus to be applied to a first electrode and a second electrode, and apply that electrical stimulus to deliver the therapeutic agent across the stratum corneum.
The present embodiments relate generally to systems and methods for measuring an analyte in a host. More particularly, the present embodiments provide sensor applicators and methods of use with activation that implant the sensor, withdraw the insertion needle, engage the transmitter with the housing, and disengage the applicator from the housing. Systems and methods according to present principles allow for such steps to occur without significant loss of spring force, and without deleterious effects such as seal slingshotting.
Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.
A61B 5/1495 - Calibrating or testing in vivo probes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61M 5/168 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters
A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
G01N 33/49 - Physical analysis of biological material of liquid biological material blood
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 20/17 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
97.
END OF LIFE DETECTION FOR ANALYTE SENSORS EXPERIENCING PROGRESSIVE SENSOR DECLINE
Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end of life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, nonstationary noise and a duration of noise. An end of life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end of life status of the analyte sensor is provided.
An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/1495 - Calibrating or testing in vivo probes
Certain aspects of the present disclosure provide a monitoring system comprising one or more memories comprising executable instructions and one or more processors in data communication with the one or more memories and configured to execute the executable instructions to calculate a gastric emptying rate of a patient based on glucose measurements and lactate measurements and determine whether the gastric emptying rate of the patient is decreasing. The one or more processors are further configured to determine, if the gastric emptying rate of the patient is decreasing, whether the gastric emptying rate of the patient meets a first threshold, or whether a reduction in the gastric emptying rate over a defined period of time meets a second threshold, provide therapy management action to the patient based on the gastric emptying rate of the patient to optimize the gastric emptying rate of the patient, and recalculate, following the therapy management action, the gastric emptying rate of the patient based on the glucose measurements and the lactate measurements.
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
100.
SYSTEMS AND METHODS FOR PROVIDING THERAPY MANAGEMENT GUIDANCE TO PATIENTS TO OPTIMIZE GLP-1 THERAPY EFFECTIVENESS
Certain aspects of the present disclosure provide a monitoring system comprising a continuous analyte sensor configured to penetrate a skin of a patient and generate a sensor current indicative of analyte levels of the patient, and a sensor electronics module coupled to the continuous analyte sensor. The sensor electronics module comprises an analog to digital converter configured to receive the sensor current and convert the sensor current generated by the continuous analyte sensor into digital signals, one or more processors configured to convert the digital signals to a set of analyte measurements indicative of the analyte levels of the patient, and a Bluetooth antenna configured to transmit the set of analyte measurements wirelessly to a wireless communications device using Bluetooth or BLE communications protocols.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
