A method for analyzing physical features of an individual comprises directing an acoustic signal toward a mouth of the individual, receiving a reflected acoustic signal from the interior of the mouth of the individual, generating a structural profile of at least the interior of the mouth of the individual based at least in part on the reflected acoustic signal, and causing an action to be performed in response to generating the structural profile. The acoustic signal is configured to reflect off at least a portion of the interior of the mouth of the individual. The reflected acoustic signal is indicative of structural characteristics of the mouth of the individual. The structural profile can also be based on image data associated with the exterior of the head and neck of the individual, and image data associated with the interior of the mouth of the individual.
A wireless communications enabled memory card (100) has a card interface (104) for wired communicating with a medical device. The memory card has a non-volatile memory (106) for storing therapy data provided by the medical device. The memory card may have a Wi-Fi transceiver (110) for joining a Wi-Fi network. The memory card may receive authentication information for joining the network from the medical device via the card interface or from a wireless device via a direct Wi-Fi connection. After joining the Wi-Fi network, the memory card may transmit the therapy data to a remote server (130).
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
H04W 12/03 - Protecting confidentiality, e.g. by encryption
The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
G06V 10/143 - Sensing or illuminating at different wavelengths
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
4.
SYSTEM AND METHODS FOR TRIGGERING SOUNDS TO MASK NOISE FROM RESPIRATORY SYSTEMS AND THEIR COMPONENTS
A system includes a respiratory device, a mask, a microphone, a speaker, and a control system. The respiratory device is configured to supply pressurized air. The mask is coupled to the respiratory device and configured to engage a user during a sleep session to aid in directing the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine if noise associated with air leaking from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with air leaking from the mask is occurring, (ii) the respiratory device determining that air is leaking from the mask, or (iii) both, the speaker is caused to emit the sound to aid in masking the noise associated with the air leaking from the mask.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
G10K 11/175 - Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effectsMasking sound
H04R 1/40 - Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only by combining a number of identical transducers
A system and method for treating sleep disordered breathing, wherein positional therapy is delivered through adaptive temperature regulation. The system includes one or more sensors configured to monitor user conditions such as body position, respiratory activity, and sleep quality. Upon detection of a target condition—such as snoring or sleep-disordered breathing in a supine position—the system initiates a control process to apply localised heating and/or cooling to specific regions of the user's body The system may operate in a closed-loop manner, receiving feedback from the sensors to determine the effectiveness of the treatment and adaptively adjusting temperature parameters such as intensity, duration, and location.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61F 7/00 - Heating or cooling appliances for medical or therapeutic treatment of the human body
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
6.
SYSTEMS AND METHODS FOR ACQUIRING CARDIAC DATA FROM AN ACCELEROMETER
A system includes a respiratory therapy system including a user interface configured to be worn on a face of an individual, a conduit configured to fluidly couple the user interface to a respiratory device, a motion sensor coupled to the user interface or to the conduit, a control system having one or more processors, and a memory device in electronic communication with the motion sensor. The motion sensor is configured to sample vibration of the user interface or the conduit to produce sensor data associated with the vibration. The memory device is configured to store the sensor data thereon, the memory device having stored thereon machine-readable instructions when executed cause the control system to determine, via an analysis of at least a portion of the sensor data, a fundamental frequency of the vibration, and to determine, via the fundamental frequency of the vibration, a physiological parameter of the individual.
A method includes receiving a flow rate signal associated with a user interface of a respiratory therapy device used by a user engaging in a sleep session. The method further includes identifying a plurality of cardiogenic oscillations from the flow rate signal. The method further includes determining consecutive peak distances based at least in part on the identified plurality of cardiogenic oscillations. The method further includes calculating heart rate information based on the consecutive peak distances.
A data gathering system (100) has at least one processor configured to perform a compression scheme for wireless transmission. The compression scheme may include amplitude reduction, where a difference between every two consecutive values of a plurality of values is computed and stored in an array. Additionally, the compression scheme may include bit packing, where outlier values are output in a first bit length, and remaining values are output in a second bit length, where the second bit length is determined so as to minimize a total memory cost for all values. Further, the system may store data recorded at different points in time in an array of data chunks, and wirelessly transmit the array of data chunks simultaneously.
A method for determining operating of a respiratory therapy system includes receiving data associated with use of the respiratory therapy system by an individual, analyzing the data to determine a value of each of one or more critical therapy pressures that are each associated with a peak of a pressure distribution curve for the one or more sleep sessions, and determining a pressure moderation curve and a pressure decay curve for use in the operation of the respiratory therapy system during a subsequent sleep session of the individual, The pressure moderation curve and the pressure decay curve are based at least in part on the value of each of the one or more critical therapy pressures for the individual.
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
An intraoral device system includes an intraoral device; an upper splint structured to engage with at least a portion of one or more teeth on a maxilla of a patient; a lower splint structured to engage with at least a portion of one or more teeth on a mandible of the patient; a drive system for moving the lower splint with respect to the upper splint; and an adjusting feedback system. The adjusting feedback system can comprise a memory storing machine-readable instructions; and a control system including one or more processors configured to execute the machine-readable instructions. The machine readable instructions can cause the control system to: receive sensor data from one or more sensors associated with the patient; process the sensor data to determine a respiratory event likelihood parameter of the patient; and output control instructions to the intraoral device that operate the drive system to move the lower splint with respect to the upper splint responsive to the determined respiratory event likelihood parameter.
A system for predicting adoption of a prescribed treatment plan by an individual includes a data repository, a memory storing instruction, and a control system to execute the instructions. The data repository is communicatively coupled to a network and includes a plurality of storage devices storing data. The control system receives at least a portion of the data stored in the data repository. The at least a portion of the data is associated with the individual. The control system uses the machine learning adoption prediction algorithm to process the received at least a portion of the data to determine a likelihood that the individual will adopt the prescribed treatment plan. Based at least in part on (i) the prescribed treatment plan and (ii) the determined likelihood that the individual will adopt the prescribed treatment plan, the control system generates a personalized treatment adoption plan for the individual.
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 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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
12.
METHODS AND APPARATUS FOR RESPIRATORY DISORDER RELATED INSOMNIA DETECTION AND TREATMENT
Systems and methods provide respiratory therapy for comorbid sleep apnea and insomnia (COMISA) patients. They may include a pressure generator (4140) for generating a flow of air for delivery to a patient interface for a respiratory therapy for the patient. They may include one or more sensors to sense one or more characteristics of operation of the generator. They may include one or more processors. They may be implemented to evaluate data in a therapy recommendation engine. The data may include one or both of objective and subjective data. The evaluation may include an assessment of the data with one or more threshold(s). They system and methods may classify, based on the evaluation, the patient according to one of a plurality of therapy states that include a COMISA state. They may be configured to output, from the therapy recommendation engine, a therapy recommendation determined in accordance with the classifying.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
13.
METHODS AND APPARATUS FOR MEDICAL DEVICE COMMUNICATIONS
Methods and apparatus may include server(s) (130) receiving a plurality of transmissions of respiratory therapy data from a therapy device (150) over a network(s). The server(s) may receive first summary data from a first wireless transmission over at least a first communications channel from the device. The server(s) may receive second summary data from a second wireless transmission over at least a second communications channel from the device. The first and second summary data may each include a therapy data summary. The server(s) may access first parameter(s) from the received first data and may access second parameter(s) from the received second data. The server(s) may compare the first parameter(s) with the second parameter(s). The server(s) may generate an output report with data from the first data and/or the second data based on a result of the comparing and may transmit, from the server(s), the output report to a client device.
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
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Aspects of the of the disclosure relate to a non-contact physiological motion sensor and a monitor device that can incorporate use of the Doppler effect. A continuous wave of electromagnetic radiation can be transmitted toward one or more subjects and the Doppler-shifted received signals can be digitized and/or processed subsequently to extract information related to the cardiopulmonary motion in the one or more subjects. The extracted information can be used, for example, to determine apneic events and/or snoring events and/or to provide apnea or snoring therapy to subjects when used in conjunction with an apnea or snoring therapy device. In addition, methods of use are disclosed for sway cancellation, realization of cessation of breath, integration with multi-parameter patient monitoring systems, providing positive providing patient identification, or any combination thereof.
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/085 - Measuring impedance of respiratory organs or lung elasticity
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
A61H 21/00 - Massage devices for cavities of the body
A61H 23/02 - Percussion or vibration massage, e.g. using supersonic vibrationSuction-vibration massageMassage with moving diaphragms with electric or magnetic drive
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
A61N 1/372 - Arrangements in connection with the implantation of stimulators
G01S 7/00 - Details of systems according to groups , ,
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
G01S 13/50 - Systems of measurement based on relative movement of target
G01S 13/82 - Systems using reradiation of radio waves, e.g. secondary radar systemsAnalogous systems wherein continuous-type signals are transmitted
G01S 13/87 - Combinations of radar systems, e.g. primary radar and secondary radar
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
15.
APPARATUS, SYSTEM, AND METHOD FOR HEALTH AND MEDICAL SENSING
Methods and devices provide physiological movement detection, such as breathing, cardiac and/or gross body motion, with active sound generation using electronic processing device(s). The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique. The sound signal may be produced as a dual tone frequency modulation continuous wave signal. Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring/prediction, and other output parameters.
G10L 25/66 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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 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 40/67 - 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
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
Systems and methods are disclosed for categorizing and/or characterizing a user interface. The systems and methods include generating acoustic data associated with an acoustic reflection of an acoustic signal, the acoustic reflection being indicative of, at least in part, one or more features of a user interface coupled to a respiratory therapy device via a conduit. The systems and methods further include analyzing the generated acoustic data. The systems and methods further include categorizing and/or characterizing the user interface based, at least in part, on the analyzed acoustic data.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
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
Sleep performance scores can be generated for an individual receiving respiratory therapy. Sensor data can be obtained from one or more sensors while the user is sleeping and using a respiratory therapy system. The sensor data can be used to determine one or more usage variables associated with use of the respiratory therapy system, as well as sleep stage information indicative of the stages of sleep undergone by the user while sleeping. A sleep performance score can be calculated using the one or more usage variables and the sleep stage information. In some cases, the sleep stage information can be used to apply weightings to one, some, or all of the one or more usage variables. The sleep performance score can indicate compliance, efficacy, quality, and/or general use of the respiratory therapy system, taking into account the relationship between sleep stage and use of the respiratory therapy system.
A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
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
A method for generating a three-dimensional model of a head including at least a portion of a face, comprising: obtaining a distance image of the head using a distance-measuring device having an imaging position, the distance image comprising for each of a two-dimensional array of distance pixels, a respective distance value indicating a distance from the measuring position to a corresponding point in a field of view of the distance-measuring device, the distance image including a face portion corresponding to the at least a portion of a face; estimating the position, relative to the imaging position, of a longitudinal axis of the model of the head based on the at least one dimension; based on the longitudinal axis, generating the three dimensional model of the head based on the position of the longitudinal axis.
A wearable device for use with a respiratory therapy system is disclosed. The device comprises a body configured to locate with respect to an ear of a patient under respiratory therapy. The patient tracker includes at least one sensor to obtain sensor data of the patient when so located. The wearable device can be configured to provide sensor data to a processor to aid in respiratory therapy of the patient under the respiratory therapy system. A treatment system and method of determining an adjustment to a respiratory therapy for a patient is also disclosed.
A system determines tightness of a wearable device (100). The system may include at least one processor configured to receive a photoplethysmography (PPG) signal from a wearable device. The at least one processor may determine a tightness measure from the PPG signal, such as from a segment of the PPG signal. The at least one processor may determine the tightness of the wearable device based on the tightness measure.
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 5/00 - Measuring for diagnostic purposes Identification of persons
22.
METHOD AND APPARATUS FOR SENSOR ORIENTATION DETECTION
A system determines orientation of a wearable device (100). The system may include at least one processor configured to receive a photoplethysmography (PPG) signal measured by a PPG sensor of the wearable device. The wearable device may have a correct orientation at which the PPG sensor is directed at the user, and an incorrect orientation at which the PPG sensor is directed away from the user. The at least one processor may determine whether the wearable device is in the incorrect or correct orientation. For example, the at least one processor may determine a perfusion measure from the PPG signal. The at least one processor may determine that the wearable device is in the incorrect or correct orientation based on the perfusion measure such as when the perfusion measure falls below a threshold.
A61B 5/0295 - Measuring blood flow using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
23.
SLEEP STATUS DETECTION FOR APNEA-HYPOPNEA INDEX CALCULATION
Devices, systems, and methods are disclosed. The devices, systems, and methods detect one or more parameters with respect to movement of a user, cardiac activity of the user, audio associated with the user, or a combination thereof during a sleep session of the user, process the one or more parameters to determine a sleep status of the user, the sleep status being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index for the user during the sleep session based, at least in part, on the sleep status.
Systems and methods provide for monitoring treatment of respiratory disorder(s) by a therapy apparatus (4000) A pressure device may deliver pressurised air to a patient interface that is, in use, connected to a patient. Sensor(s) may monitor characteristic(s) of the pressurised air. Processor(s) may control the pressure device to deliver the air at treatment pressures responsive to adverse events. The delivered treatment pressures may be maintained within a range of treatment pressures between a minimum therapeutic pressure and a maximum therapeutic pressure. Adverse events may be detected based on the monitored characteristic(s)of the air during treatment session(s). Counts of the detected adverse events that occur during pressure delivery within a given range of treatment pressures for the treatment sessions may be evaluated. A recommendation or automated operation may be generated that includes a parameter change for use in a subsequent therapy session in response to the counts of detected adverse events.
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 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
25.
SYSTEMS AND METHODS FOR MONITORING AND MANAGEMENT OF CHRONIC DISEASE
Systems and methods assist with managing a chronic disease of a user such as a chronic respiratory or cardiac disease. The system may include a physiological monitor adapted to be carried by the user and operative to sense a physiological parameter of the user by generating one or more signals. The system may include a management device operatively coupled with the physiological monitor to receive the signal(s) and derive the physiological parameter(s) of the user. The management device, such as with an included processor, may be configured to analyze the physiological and/or environmental parameters to detect a trigger pattern of the parameters, the trigger pattern indicative of a probable event of exacerbation of the chronic respiratory and/or cardiac condition. The management device may then generate automated responses based on the trigger pattern such as by providing instructions for activities and/or treatment for the chronic condition.
A61M 16/14 - Preparation of respiratory gases or vapours by mixing different fluids, one of them being in a liquid phase
G01P 13/00 - Indicating or recording presence or absence of movementIndicating or recording of direction of movement
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly 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
G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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 20/13 - 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 from dispensers
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 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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
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 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
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
Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G08B 5/22 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmissionVisible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission
G08B 21/06 - Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
G08B 21/22 - Status alarms responsive to presence or absence of persons
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
G10L 25/78 - Detection of presence or absence of voice signals
27.
SYSTEMS AND METHODS FOR PROVIDING STIMULI TO AN INDIVIDUAL DURING A SLEEP SESSION
A method includes receiving, at a first computing device, data associated with the sleep session. The method further includes transmitting a first portion of the data associated with the sleep session to a second computing device. The second computing device is configured to analyze the first portion of the data to generate an initial set of one or more stimuli to be applied to the individual during the sleep session. The method further includes receiving, at the first computing device, the initial set of one or more stimuli from the second computing device. The method further includes determining, by the first computing device, a final set of one or more stimuli to apply to the individual during the sleep session based at least in part on the initial set of one or more stimuli and a second portion of the data associated with the sleep session.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
G10L 25/78 - Detection of presence or absence of voice signals
A method includes providing an air circuit (900) for supplying a flow of air from a respiratory therapy device to an airway of a user. The air circuit has a plurality of air circuit components (950, 910, 930, 970, 990, 932). One or more of the plurality of air circuit components includes a wireless beacon (951, 911, 931, 971, 991, 933) for transmitting an air circuit component identifier. The method further includes wirelessly receiving the one or more air circuit component identifiers. The method further includes generating a mapping of the air circuit based at least in part on the one or more air circuit component identifiers.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 40/00 - 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
Methods and apparatus detect events of sleep disordered breathing from an input audio signal such as from a sound sensor. A processor may be configured to receive the audio signal that represents sounds of a user during a period of sleep. The processor determines reliable respiration epochs from the audio, such as on a frame-by-frame basis, that include periods of audible breathing and/or snoring. The processor detects presence of a sleep disordered breathing events, such as hypopnea, apnea, apnea snoring or modulated breathing, in the reliable respiration epoch(s) and generates output to indicate the detected event(s). Optionally, the apparatus may serve as a cost-effective screening device such as when implemented as a processor control application for a mobile processing device (e.g., mobile phone or tablet).
An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypopneas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G01S 13/50 - Systems of measurement based on relative movement of target
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
32.
SYSTEMS AND METHODS FOR CHARACTERIZING A USER INTERFACE USING FLOW GENERATOR DATA
According to some implementations of the present disclosure, a method includes accessing flow generator data provided by a respiratory therapy system, the flow generator data comprising at least one of flow data, pressure data, or motor data. A probability measure is generated by processing the first flow generator data using a trained machine learning model, and a label indicating whether the respiratory therapy system was being operated with a user interface comprising an anti-asphyxia valve is generated based on the probability measure at a time when the flow generator data was generated.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
34.
SYSTEMS AND METHODS FOR MODIFYING PRESSURE SETTINGS OF A RESPIRATORY THERAPY SYSTEM
A method of modifying pressure settings of a respiratory therapy system comprises supplying pressurized air at a first pressure to a user during a current sleep session; determining a number and/or type of events experienced by the user during a first portion of the current sleep session; and modifying the pressure settings of the respiratory therapy system during a subsequent sleep session portion in response to the number and/or type of events satisfying a threshold. Modifying the pressure settings can include modifying the first pressure to be a modified first pressure for the subsequent sleep session portion, (ii) modifying a difference in pressure between the first pressure and a second pressure for the subsequent sleep session portion, (iii) modifying a rate of change from the first pressure to the second pressure for the subsequent sleep session portion, or (iv) any combination of (i)-(iii).
A method of determining a sleep stage of an individual comprises identifying features associated with a current epoch of the sleep session, determining a plurality of sleep stage probabilities based on the features, identifying events experienced by the individual during the current epoch, and adjusting each of the plurality of sleep stage probabilities based on events experienced by the individual during the current epoch or a prior epoch, and/or a sleep stage previously determined for the prior epoch. The features include at least one feature associated with a flow of pressurized air from a respiratory therapy system used by the individual, at least one feature associated with a respiration rate of the individual, and/or at least one feature associated with a time of the sleep session. Each sleep stage probability corresponds to a respective one of a plurality of potential sleep stages during the current epoch of the sleep session.
A method includes providing a head-worn assembly including an electronics module having one or more sensors. The head-worn assembly is couplable to a user interface and is wearable on a head of a user. The head-worn assembly is wearable on the head and is not coupled to the user interface when in a first configuration. The head-worn assembly is wearable on the head and is coupled to the user interface when in the second configuration. The method further includes collecting first sensor data from the one or more sensors while the user wears the head-worn assembly in the first configuration while the user is engaging in a first sleep session. The method further includes collecting second sensor data from the one or more sensors while the user wears the head-worn assembly in the second configuration while the user is wearing the user interface during a second sleep session.
According to some implementations of the present disclosure, a method includes receiving acoustic data associated with airflow caused by operation of a respiratory therapy system, which is configured to supply pressurized air to a user. The respiratory therapy system includes a user interface and a vent. The method also includes determining, based at least in part on a portion of the received acoustic data, an acoustic signature associated with the vent. The method also includes characterizing, based at least in part on the acoustic signature associated with the vent, the user interface, the vent, or both.
The present disclosure relates to a method for identifying a user interface. Flow data associated with air flowing in a respiratory therapy system is received. Acoustic data associated with the respiratory therapy system is received. The received flow data and the received acoustic data are analyzed. Based at least in part on the analysis, a mask type for the user interface is determined.
Various implementations of the present disclosure are directed to systems and methods for managing blood pressure conditions of a user of a respiratory therapy system by controlling operational parameters associated with the respiratory therapy system. The method includes receiving cardiovascular data associated with a user of a respiratory therapy system during a sleep session and determining, based at least in part on the received cardiovascular data, a value of a first physiological parameter associated with the user. The method further includes determining whether the value of the first physiological parameter satisfies a first condition and in response to the first physiological parameter satisfying the first condition, determining a modification of an operational parameter associated with the respiratory therapy system.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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.
METHOD AND APPARATUS FOR MONITORING CARDIO-PULMONARY HEALTH
Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/103 - Measuring devices for testing the shape, pattern, size or movement of the body or parts thereof, for diagnostic purposes
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
G08B 21/02 - Alarms for ensuring the safety 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
41.
Systems, methods and devices for smart humidification
Disclosed are methods, systems, and devices for providing a personalized humidification level. A control system receives, from a first sensor, one or more environmental parameters regarding conditions of the environment. The control system receives, from a second sensor, one or more physiological parameters associated with a user within the environment. The control system determines an action associated with a desired change in the humidity within the environment based, at least in part, on the one or more environmental parameters and the one or more physiological parameters. The control system causes, at least in part, a performance of the action associated with the change in the humidity in the environment based, at least in part, on moisture outputted by a humidifier module. The methods and devices perform the same functionality as the control system.
A data gathering system (100) has at least one processor configured to perform a compression scheme for wireless transmission. The compression scheme may include amplitude reduction, where a difference between every two consecutive values of a plurality of values is computed and stored in an array. Additionally, the compression scheme may include bit packing, where outlier values are output in a first bit length, and remaining values are output in a second bit length, where the second bit length is determined so as to minimize a total memory cost for all values. Further, the system may store data recorded at different points in time in an array of data chunks, and wirelessly transmit the array of data chunks simultaneously.
A method for analyzing sounds made by an individual during a sleep session includes receiving audio data associated with the sleep session. The sleep session is divided into at least a plurality of primary segments. The method further includes determining, based at least in part on the audio data, whether one or more snoring sounds were made by the individual during each of at least two of the plurality of primary segments. The method further includes determining a snore score for each of a plurality of secondary segments of the sleep session. Each of the plurality of secondary segments contains two or more of the plurality of primary segments. The method further includes generating, based at least in part on the snore score for each of the plurality of secondary segments, a human-perceivable audio sample of at least one of the plurality of secondary segments.
A method includes receiving a flow rate signal associated with a user interface of a respiratory therapy device used by a user engaging in a sleep session. The method further includes identifying a plurality of cardiogenic oscillations from the flow rate signal. The method further includes determining consecutive peak distances based at least in part on the identified plurality of cardiogenic oscillations. The method further includes calculating heart rate information based on the consecutive peak distances.
A method for predicting a subjective comfort level of a user of a respiratory therapy system is disclosed as follows. Data associated with the user of the respiratory therapy system during a therapy session is received. At least one parameter associated with the user is determined based at least in part on a first portion of the received data. A comfort score is determined based at least in part on the determined at least one parameter. The comfort score is indicative of the subjective comfort level of the user of the respiratory therapy system during at least a portion of the therapy session.
A wireless communications enabled memory card (100) has a card interface (104) for wired communicating with a medical device. The memory card has a non-volatile memory (106) for storing therapy data provided by the medical device. The memory card may have a Wi-Fi transceiver (110) for joining a Wi-Fi network. The memory card may receive authentication information for joining the network from the medical device via the card interface or from a wireless device via a direct Wi-Fi connection. After joining the Wi-Fi network, the memory card may transmit the therapy data to a remote server (130).
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
47.
SYSTEMS AND METHODS FOR LEAK DETECTION IN A RESPIRATORY THERAPY SYSTEM
Various implementations of the present disclosure are directed to systems and methods for leak detection in a respiratory therapy system using acoustic data. According to some implementations, a method includes receiving acoustic data associated with airflow caused by operation of a respiratory therapy system during a sleep session of a user. The method also includes analyzing at least a portion of the acoustic data to determine a value of a parameter associated with the at least a portion of the acoustic data. The method further includes determining an occurrence of a leak during the sleep session in response to the determined value of the parameter satisfying a condition.
A61M 16/16 - Devices to humidify the respiration air
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
48.
SYSTEMS AND METHODS FOR DETECTING OCCLUSIONS IN HEADGEAR CONDUITS DURING RESPIRATORY THERAPY
A system and method detects an occlusion in a respiratory therapy system. The system and method includes determining an acoustic signature for a conduit of a headgear user interface. The determined acoustic signature is analyzed to identify an anomaly in the acoustic signature. In response to the determined acoustic signature being identified as anomalous, a determination is made if the identified anomaly relates to an occlusion of the conduit.
Certain aspects and features of the present disclosure relate to evaluating the sleep performance of a cohort of multiple individuals sleeping in a shared environment (e.g., a single bed, a single room, a set of adjacent rooms, or a single household). Individual or concerted sleep performance scores can be determined, as well as other sleep performance metrics. The evaluation of sleep performance for the entire cohort can be useful when one of the individuals is being treated (e.g., with a respiratory therapy device) for a sleep-related and/or respiratory disorder. Evaluation of the cohort can help identify actions that can be taken to improve the sleep performance of all individuals in the cohort. In some cases, parameters of a user's therapy device are adjusted based on the monitored sleep performance of another individual in the cohort.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
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 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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
50.
SYSTEMS AND METHODS FOR DETERMINING MOVEMENT DURING RESPIRATORY THERAPY
The present disclosure relates to a method for determining movement of a user while using a respiratory therapy system is disclosed. Acoustic data associated with the user of the respiratory therapy system is received. The received acoustic data is analyzed. Based at least in part on the analyzed acoustic data, a movement event associated with the user is determined.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
51.
SYSTEMS FOR DETECTING A LEAK IN A RESPIRATORY THERAPY SYSTEM
A method for characterizing a leak in a respiratory therapy system comprises identifying a specific model of a user interface and a conduit of the respiratory therapy system. The method further comprises selecting one of a plurality of predefined pressure versus flow curves based on the identified user interface and conduit. The predefined pressure versus flow curve is associated with airflow characteristics of the respiratory therapy system when the identified user interface is coupled to the identified conduit. The method further comprises receiving pressure data and flow data associated with air flowing in the respiratory therapy system. The method further comprises comparing the pressure data and the flow data to the predefined pressure versus flow curve. The method further includes characterizing, based at least in part on the comparing, a leak in the respiratory therapy system that occurred during the use of the respiratory therapy system.
Systems and methods are disclosed for categorizing and/or characterizing a user interface. The systems and methods include generating acoustic data associated with an acoustic reflection of an acoustic signal, the acoustic reflection being indicative of, at least in part, one or more features of a user interface coupled to a respiratory therapy device via a conduit. The systems and methods further include analyzing the generated acoustic data. The systems and methods further include categorizing and/or characterizing the user interface based, at least in part, on the analyzed acoustic data.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
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
53.
Systems and methods for adjusting user position using multi-compartment bladders
A method includes receiving data associated with a sleep session of a user. The method also includes determining that the user is experiencing or has experienced an event based at least in part on the data. The method also includes causing pressurized air to be directed from a respiratory device to a multi-compartment bladder in response to determining that the user is experiencing or has experienced the event to aid in modifying a position of a head of the user.
A method of detecting rainout in a respiratory therapy system that includes a conduit fluidly coupled to a user interface comprises generating, via at least one microphone, acoustic data representative of noise associated with the respiratory therapy system. The method further comprises analyzing the acoustic data to detect a presence of liquid in the respiratory therapy system. The method further comprises causing an action to be performed, based on the detected presence of the liquid.
A system includes a respiratory therapy system, a memory, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air and a user interface coupled to the respiratory therapy device via a conduit. The user interface engages the individual and aids in directing the pressurized air to an airway of the individual. The system can be used to cause an acoustic signal to be directed into the airway of the individual, via the conduit and the user interface; generate acoustic data representative of one or more reflections of the acoustic signal caused by a portion of the airway of the individual, an obstruction within the airway of the individual, or both; analyze the acoustic data to determine a value of a parameter associated with the airway of the individual; and cause an action to be performed, based on the determined value of the parameter.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
A61M 16/10 - Preparation of respiratory gases or vapours
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
56.
Apparatus, system, and method for physiological sensing in vehicles
Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
57.
System and method to provide dummy data for source attribution for proprietary data transmission
A system and method for providing a unique signature for proprietary data. The proprietary data may be transmitted to multiple trusted parties. Each of the trusted parties will have proprietary data with a unique signature to that trusted party. The signature allows a user to determine the source of the proprietary data breach via the signature.
Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.
G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G08B 5/22 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmissionVisible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission
G08B 21/06 - Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
G08B 21/22 - Status alarms responsive to presence or absence of persons
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
G10L 25/51 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination
G10L 25/78 - Detection of presence or absence of voice signals
59.
SYSTEMS AND METHODS FOR IDENTIFYING USER BODY POSITION DURING RESPIRATORY THERAPY
A system for identifying a body position of a user of a respiratory therapy system includes a sensor, a memory, and a control system. The sensor is configured to generate airflow data associated with the user. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions to receive the airflow data associated with the user during a sleep session. The control system is further configured to determine one or more features associated with the airflow data, and identify the body position of the user during a first portion of the sleep session based at least in part on the determined one or more features. The control system is further configured to cause an action to be performed based at least in part on the identified body position of the user.
A method includes generating, using one or more sensors, data. The data includes (i) environmental data related to an environment of a user and (ii) physiological data associated with the user during a sleep session. Based at least in part on the physiological data, a comfort score associated with the user during the sleep session is determined. The comfort score is indicative of a comfort level of the user during at least a portion of the sleep session. Based at least in part on the determined comfort score, a setting of one or more devices associated with the environment of the user is adjusted.
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
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
61.
Systems and methods for determining a length and/or a diameter of a conduit
A method includes generating acoustic data representative of at least one or more reflections of an acoustic signal. The one or more reflections are indicative of a length and/or a diameter of a conduit coupled to a respiratory therapy device. The method further includes analyzing the acoustic data to determine the length and/or diameter of the conduit. In some cases, analyzing the acoustic data includes determining a resonant frequency of the conduit, and determining the length of the conduit based at least in part on the resonant frequency. In some cases, analyzing the acoustic data includes comparing the acoustic data to predetermined sets of acoustic data that each correspond to a known length and/or diameter of the conduit, and selecting one of the predetermined sets of acoustic data that best matches the generated acoustic data. The selected set of acoustic data corresponds to the length and/or diameter of the conduit.
Automatic adjustment of an oral appliance, such as a mandibular repositioning device, is disclosed. Sensor data can be received from one or more sensors external to a user using the oral appliance. An adjustment associated with the oral appliance is determined using the sensor data, and an action can be taken to facilitate applying the determined adjustment. Such actions can include transmitting a signal to the oral appliance to effect the adjustment (e.g., using an actuator or onboard electrical stimulator), presenting adjustment parameters to help the user manually make the adjustment, activating actuators in an oral appliance storage receptacle the next time the oral appliance is stored, or other such actions. Adjustments can be made dynamically in real-time or asynchronously (e.g., between sleep sessions).
A method includes generating, by a sensor, physiological data associated with a user during a sleep session. The method also includes processing, by an electronic device including one or more processors, the generated physiological data to distinguish between on-therapy data and off-therapy data. The on-therapy data is the generated physiological data while a respiratory therapy system is coupled to the user and supplies pressurized air to an airway of the user. The off-therapy data is the generated physiological data while the respiratory therapy system is not supplying pressurized air to the airway of the user. The method also includes determining, by the electronic device, a sleep measure based at least in part on the off-therapy data.
The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
G06V 10/143 - Sensing or illuminating at different wavelengths
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
65.
SYSTEMS AND METHODS FOR DIAGNOSING OPERATIONAL ISSUES IN A RESPIRATORY SYSTEM
The present disclosure relates to a method for diagnosing an operational issue in a respiratory therapy system. A command is received, via an external device, to begin diagnosing the operational issue in the respiratory therapy system. One or more sensors of the external device are caused to generate acoustic data, which is indicative of one or more sounds emanating from the respiratory therapy system. At least a portion of the generated acoustic data is analyzed to identify (i) a location of the operational issue in the respiratory therapy system, (ii) one or more causes of the operational issue in the respiratory therapy system, or (iii) both (i) and (ii).
Airflow parameters (e.g., flow rate and airflow pressure) of airflow generated by a flow generator of a respiratory therapy system can be measured during use and processed to automatically identify user interface and/or conduit identification information. This user interface and/or conduit identification information can be used to adjust settings of the respiratory therapy device, generate notifications (e.g., notifications of a detected change in user interface without concomitant, expected adjustment of settings of the respiratory therapy device), or otherwise facilitate respiratory therapy of the user or of other users. User interface and/or conduit identification information can be indicative of specific characteristics of the user interface and/or conduit (e.g., resonant frequencies, impedance, and the like), a style of the user interface (e.g., a face mask, nasal mask, or nasal pillow) and/or style of conduit, a specific manufacturer, a specific model, or other such identifiable information.
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 40/40 - 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 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
A method includes receiving first physiological data associated with a user. The method also includes determining a first emotion score associated with the user based at least in part on the first physiological data. The method also includes modifying one or more settings of a respiratory therapy system responsive to determining that the first emotion score satisfies a predetermined condition.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
A61B 5/16 - Devices for psychotechnicsTesting reaction times
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A system includes a respiratory therapy system, a memory device, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air, and a user interface coupled to the respiratory therapy device via a conduit to direct the pressurized air to an airway of a user. The memory device stores machine-readable instructions. The control system includes a processor(s) to execute the machine-readable instructions to: generate data, during a current sleep session, associated with a user of a respiratory therapy system; analyze the generated data to determine a value of a first metric that is associated with a sleep disordered breathing (SDB) condition; analyze the generated data to determine a value of a second metric that is associated with a health condition other than the SDB condition; and based at least in part on the determined value of the second metric, cause an action to be performed.
A method of analyzing data related to use of a respiratory therapy system by a user comprises receiving a first type of data, determining a first value of a first parameter based at least in part on the first type of data, identifying a desired second type of data, transmitting a request for consent to receive the second type of data, and determining, based at least in part on the second type of data, a second value of the first parameter, a value of a second parameter, or both. The first type of data and the first parameter are related to the user's use of the respiratory therapy system. The identification of the second type of data is based at least in part on the first type of data, the first value of the first parameter, an accuracy of the first value of the first parameter, or any combination thereof.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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 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 50/70 - 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 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
70.
SYSTEMS AND METHODS FOR DETECTING AN INTENTIONAL LEAK CHARACTERISTIC CURVE FOR A RESPIRATORY THERAPY SYSTEM
A plurality of flow rate values associated with pressurized air directed to an airway of a user of a respiratory therapy system is received. A plurality of pressure values associated with the pressurized air directed to the airway of the user is received. A first time associated with a first breath of the user and a second time associated with a second breath of the user are identified. The plurality of flow rate values is filtered based at least in part on the identified first time and the identified second time. The filtering produces a subset of the plurality of flow rate values. An intentional leak characteristic curve for the respiratory therapy system is determined using at least two of the subset of the plurality of flow rate values and the corresponding pressure values for said at least two of the subset of the plurality of flow rate values.
A method and system for determining a positional sleep disordered breathing (pSDB) status associated with a respiratory device user is disclosed. Airflow data associated with the user is received. The airflow data is analyzed to identify a first time period of suspected arousal and a second time period of suspected arousal. A first time section between the identified first time period and the identified second time period is determined. The airflow data associated with the determined first time section is analyzed to identify (i) an indication of one or more respiratory events and/or (ii) an indication of one or more therapy events. Based at least in part on the (i) identified indication of one or more respiratory events and/or (ii) identified indication of one or more therapy events, the pSDB status of the user is determined, where the pSDB status is indicative of whether or not the user has pSDB.
A method includes receiving a first value for each of a plurality of parameters, each of the first values being associated with a user and a first day. The method also includes receiving a second value for each of the plurality of parameters, each of the second values being associated with the user and a second day that is subsequent to the first day. The method also includes determining, for each of the plurality of parameters, a trend indication. The method also includes determining a base weight value for each of the plurality of parameters and multiple pairs of the plurality of parameters. The method also includes causing a message to be communicated to the user that is based at least in part on the determined base weight values.
An apparatus, system, and method monitors the motion, breathing, heart rate and sleep state of subjects, e.g., humans, in a convenient, non-invasive/non-contact, and low-cost fashion. More particularly, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Periods of sleep disturbed respiration, or central apnea can be detected through analysis of the respiratory signal. The mean heart rate, and derived information, such as the presence of cardiac arrhythmias can be determined from the cardiac signal. Motion estimates can be used to recognize disturbed sleep and periodic limb movements. The sleep state may be determined by applying a classifier model to the resulting streams of respiratory, cardiac and motion data. A means for display of the sleep state, respiratory, cardiac, and movement status may also be provided.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
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
74.
SYSTEMS AND METHODS FOR GENERATING CUSTOM MESSAGES TO ENCOURAGE A BEHAVIORAL RESPONSE
A method for generating one or more custom messages for a user to aid in encouraging a behavioral response includes receiving physiological data associated with a user during a first time period, the first time period including at least one sleep session. The method further includes determining a first parameter associated with the user based on a first portion of the physiological data. The method further includes determining a second parameter associated with the user based on a second portion of the physiological data. The method further includes generating a custom message based on the determined first parameter and the determined second parameter to aid in encouraging a behavioral response, the custom message including information associated with the determined first parameter and information associated with the determined second parameter. The method further includes causing the custom message to be communicated to the user.
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
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
A method includes causing first media content to be displayed on a display device, the first media content including a first prompt to perform a first activity. The method also includes receiving data associated with the user, the data including motion data associated with movement of the user and physiological data associated with the user. The method also includes determining whether the user is performing the first activity based at least in part on the physiological data, the motion data, or both. The method also includes determining a first physiological parameter associated with the user subsequent to the first prompt based at least in part on the physiological data associated with the user. The method also includes determining whether the first physiological parameter exceeds a predetermined threshold.
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
A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
G10L 25/78 - Detection of presence or absence of voice signals
A method includes data associated with a sleep session of a user, including respiration data associated with the user during at least a portion of the sleep session and audio data reproducible as one or more sounds during at least a portion of the sleep session. The method also includes determining a respiration signal associated with the user during the sleep session based, at least in part, on at least a portion of the data. The method also includes identifying an event experienced by the user during the sleep session based, at least in part on, at least a portion of the data. The method also includes causing to be communicated to the user via a user device a graphical representation of a portion of the respiration signal and an event indication that aids in identifying the identified event within the graphical representation of the portion of the respiration signal.
A method for monitoring a sleep session of an individual comprises receiving data associated with a current sleep session of the individual; analyzing at least a portion of the received data to identify one or more sleep stages experienced by the individual during the current sleep session, the one or more sleep stages including a light sleep stage, a deep sleep stage, a typical rapid eye movement (REM) stage, an atypical REM stage, a wake stage, or any combination thereof; and generating a summary of the current sleep session, the summary including (i) a number of atypical REM sleep stages experienced by the individual during the sleep current sleep session, (ii) a time spent in atypical REM sleep stages during the current sleep session, or (iii) both (i) and (ii).
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/08 - Measuring devices for evaluating the respiratory organs
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
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
79.
SYSTEMS AND METHODS FOR MULTI-COMPONENT HEALTH SCORING
Systems and methods for generating and presenting a multi-component health score are disclosed. The health score can be generated from a set of weighted component scores each associated with a particular component being evaluated. Each component score can be generated based on a combination of first physiological data collected during a sleep session, second physiological data collected during a duration adjacent a sleep session, and subjected feedback data associated with the sleep session. Dynamic adjustments of weightings and presentation in a format indicating the contribution of each component to the total health score can facilitate good habits and healthy practices.
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 50/70 - 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
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
Radio frequency motion sensors may be configured for operation in a common vicinity so as to reduce interference. In some versions, interference may be reduced by timing and/or frequency synchronization. In some versions, a master radio frequency motion sensor may transmit a first radio frequency (RF) signal. A slave radio frequency motion sensor may determine a second radio frequency signal which minimizes interference with the first RF frequency. In some versions, interference may be reduced with additional transmission adjustments such as pulse width reduction or frequency and/or timing dithering differences. In some versions, apparatus may be configured with multiple sensors in a configuration to emit the radio frequency signals in different directions to mitigate interference between emitted pulses from the radio frequency motion sensors.
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
G01S 13/87 - Combinations of radar systems, e.g. primary radar and secondary radar
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
A61B 5/113 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb occurring during breathing
G01S 13/56 - Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
G01S 13/524 - Discriminating between fixed and moving objects or between objects moving at different speeds using transmissions of interrupted pulse modulated waves based upon the phase or frequency shift resulting from movement of objects, with reference to the transmitted signals, e.g. coherent MTi
A61B 5/08 - Measuring devices for evaluating the respiratory organs
81.
SYSTEMS AND METHODS FOR DETERMINING MOVEMENT OF A CONDUIT
A system includes an electronic circuit, a memory, and a control system. The electronic circuit is coupled to a conduit. The conduit may be configured to deliver pressurized air. A portion of the electronic circuit has a first electrical property that is configured to change based at least in part on movement of the portion of the electronic circuit. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions. Data associated with the first electrical property of the electronic circuit is received. The received data is analyzed. Based at least in part on the analysis, it is determined that the first electrical property of the electronic circuit has changed. Responsive to the determination that the first electrical property of the electronic circuit has changed, it is determined that the conduit is moving or has moved.
A method comprises receiving data associated with a diabetes treatment plan of the individual. The method further comprises receiving data associated with a respiratory therapy plan of the individual. The respiratory therapy plan is implementable by a respiratory therapy system during a sleep session. The method further comprises determining a potential interaction between the diabetes treatment plan of the individual and the respiratory therapy plan of the individual. The method further comprises, based on the interaction, updating the diabetes treatment plan of the individual.
G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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
83.
SYSTEMS AND METHODS FOR LOCATING USER INTERFACE LEAK
Detection of unintentional air leaks in a user interface (e.g., mask) of a respiratory therapy system (e.g., a positive air pressure device) is disclosed. One or more sensors (e.g., within a computing device, such as a smartphone) can be moved around relative to the user interface to determine a location and/or intensity of an air leak. The computing device can provide feedback regarding the location and/or intensity of the air leak to facilitate the user locating the air leak, and thus correcting the air leak. In some cases, augmented reality annotations can be overlaid on an image (e.g., live image) of the user wearing the user interface to identify the location of the air leak. The system can automatically detect the type of user interface being used and can provide tailored guidance for reducing the air leaks.
A method of predicting an unintentional leak in a respiratory system during a sleep session includes causing, during the sleep session, pressurized air to be delivered from a respiratory device to a user via a conduit coupled to a user interface. The method also includes receiving historical first data associated with pressurized air delivered from the respiratory device during one or more prior sleep sessions; receiving current first data associated with the pressurized air being delivered from the respiratory device during the sleep session; receiving historical second data associated with the user during one or more prior sleep sessions; and receiving, via one or more second sensors, current second data associated with the user during the current sleep session. The method determines, a likelihood that an unintentional leak in the respiratory system will occur within a predetermined amount of time.
A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
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 5/00 - Measuring for diagnostic purposes Identification of persons
86.
METHODS AND APPARATUS FOR DETECTION AND MONITORING OF HEALTH PARAMETERS
Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.
The present disclosure relates to a method for identifying a user interface. Flow data associated with air flowing in a respiratory therapy system is received. Acoustic data associated with the respiratory therapy system is received. The received flow data and the received acoustic data are analyzed. Based at least in part on the analysis, a mask type for the user interface is determined.
System and methods are disclosed that promote a sleep stage of a user. The systems and methods determine a current sleep stage of a user during a sleep session, with the user using a respiratory therapy system during the sleep session. The systems and methods further predict an undesired sleep stage upcoming for the user during the sleep session based, at least in part, on (i) one or more user parameters, information from one or more previous sleep sessions, or a combination thereof, and (ii) the current sleep stage. The systems and methods adjust one or more control parameters of the respiratory therapy system, of one or more devices in an environment of the user, or of a combination thereof to promote a desired sleep stage of the user, thereby optimizing sleep of the user.
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
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 50/30 - 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
User alertness can be monitored and leveraged while the user is interacting with a computing device, such as a mobile device (e.g., a smartphone or tablet). By monitoring interaction data, an alertness inference of the user can be generated. The interaction data can include biometric data of the user (e.g., blink rate, eye focus, and breathing rate), inertia data of the device (e.g., swaying and orientation), and software-usage data of the device (e.g., button press speed and accuracy, app or action being used, and response times). The alertness inference can be a score measuring a degree of alertness of the user, from a deep sleep through fully alert. The alertness inference can be leveraged to automatically alert presentation of a message (e.g., notification) on the device, such as withholding presentation of the message or presenting it in different fashion (e.g., silently).
A wearable device can automatically switch between modes of collecting sensor data when a docking event is detected between the wearable device and a docking device. In a first mode (e.g., when undocked), data can be collected using a first sensor configuration (e.g., a first set of sensors operating using a first set of sensing parameters). In a second mode (e.g., when docked), data can be collected using a second sensor configuration, which can include the use of one or more different sensors and/or the use of one or more different sensing parameters. The first mode may prioritize battery life, whereas the second mode may prioritize sensor data fidelity, such as by increasing sampling rates, using different sensors, and the like. Sensor data from the first and second modes can be used individually (e.g., to calibrate the other) and/or together (e.g., to determine physiological parameters).
A61B 5/08 - Measuring devices for evaluating the respiratory organs
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
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
91.
SYSTEMS AND METHODS FOR ANALYZING SLEEP-RELATED PARAMETERS
A method includes receiving first data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first data. The method also includes receiving second data associated with a second sleep session of the user. The method also includes determining a second set of sleep-related parameters associated with the second sleep session of the user based at least in part on the second data. The method also includes receiving third data associated with a variable condition. The method also includes causing one or more indications associated with the variable condition and the first sleep session, the second sleep session, or both to be communicated to the user.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
92.
System And Method For Mapping An Airway Obstruction
A method includes emitting an acoustic signal into an airway of a user. The method further includes, detecting an acoustic reflection of the acoustic signal caused by one or more physical features within the airway of the user. The method also includes analyzing acoustic data associated with the acoustic reflection. The method also further includes characterizing an occurrence of the physical obstruction in the airway of the user. The characterization is based, at least in part, on the analyzed acoustic data. The characterization is indicative of an apnea event or a hypopnea event in the user, wherein the apnea event comprises an obstructive apnea event, a central apnea event or a mixed apnea event, and further distinguishes between the occurrence of the obstructive apnea event, the central apnea event, the mixed apnea event or the hypopnea event in the user.
A method for generating a three-dimensional model of a head including at least a portion of a face, comprising: obtaining a distance image of the head using a distance-measuring device having an imaging position, the distance image comprising for each of a two-dimensional array of distance pixels, a respective distance value indicating a distance from the measuring position to a corresponding point in a field of view of the distance-measuring device, the distance image including a face portion corresponding to the at least a portion of a face; estimating the position, relative to the imaging position, of a longitudinal axis of the model of the head based on the at least one dimension; based on the longitudinal axis, generating the three dimensional model of the head based on the position of the longitudinal axis.
A user interface of a respiratory therapy system includes a strap assembly, a frame, a connector, and a sensor. The strap assembly is positioned about a head of a user when the user wears the user interface. The frame is physically and electrically connected to the strap assembly, and defines an aperture. The connector has a first end portion and second end portion. The first end portion of the connector can be positioned within the aperture of the frame such that the connector is physically and electrically connected to the frame. The sensor is coupled to the strap assembly or the frame such that the sensor abuts a target area of the user when the user wears the user interface.
A method includes (i) receiving data associated with a user during a sleep session; (ii) determining an alertness level of the user using a machine learning model that takes as input the received data; and (iii) generating a response to be communicated to the user based at least in part on the determined alertness level. The data associated with the user can be received from a respiratory therapy device configured to supply pressurized air to an airway of the user by way of a user interface coupled to the respiratory therapy device via a conduit, a sensor, or both the respiratory therapy device and the sensor.
A system includes a memory device storing machine-readable instructions and a control system including one or more processors configured to execute the machine-readable instructions to receive initial physiological data associated with a user, determine, based at least in part on initial physiological data, an initial sleepiness level for the user, prompt the user, via an electronic device, to perform a first activity, receive subsequent physiological data associated with the user, determine, based at least in part on the subsequent physiological data, a subsequent sleepiness level for the user, and determine a first activity score based at least in part on the initial sleepiness level and the subsequent sleepiness level, the first activity score being indicative of an effectiveness of the first activity in modifying the sleepiness of the user.
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 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 20/30 - 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
The present disclosure relates to a method for determining a mouth leak status associated with a user of a respiratory device is disclosed. Airflow data associated with the user of the respiratory device is received. The respiratory device is configured to supply pressurized air to an airway of the user during a therapy session. The airflow data includes pressure data. The airflow data associated with the user is analyzed. Based at least in part on the analysis, the mouth leak status associated with the user is determined. The mouth leak status is indicative of whether or not air is leaking from a mouth of the user.
A system has an electronic interface, one or more sensors, a memory, and a control system including one or more processors. The processors are configured to execute instructions for activating an edema test, automatically or in response to receiving a user request via the electronic interface. Upon activation, user instructions are provided to locate, via one or more of the sensors, a skin area in the subject for testing. A user is instructed to depress the skin area for causing a temporary indentation. One or more images of the temporary indentation are captured, via one or more of the sensors, over a period of time following the depression of the skin area by the user. The images are analyzed for characteristics of skin bounce-back, which represents rebounding of the skin area after the temporary indentation. An edema result is determined based on the characteristics of the skin bounce-back.
Devices, systems, and methods are disclosed. The devices, systems, and methods detect one or more parameters with respect to movement of a user, cardiac activity of the user, audio associated with the user, or a combination thereof during a sleep session of the user; process the one or more parameters to determine a sleep status of the user, the sleep status being at least one of awake, asleep, or a sleep stage; and calculate an apnea-hypopnea index for the user during the sleep session based, at least in part, on the sleep status.
A plurality of flow rate values associated with pressurized air directed to an airway of a user of a respiratory therapy system is received. A plurality of pressure values associated with the pressurized air directed to the airway of the user is received. A first time associated with a first breath of the user and a second time associated with a second breath of the user are identified. The plurality of flow rate values is filtered based at least in part on the identified first time and the identified second time. The filtering produces a subset of the plurality of flow rate values. An intentional leak characteristic curve for the respiratory therapy system is determined using at least two of the subset of the plurality of flow rate values and the corresponding pressure values for the at least two of the subset of the plurality of flow rate values.
