Abrégé

System and method for monitoring motion of subject. Millimeter-wave reflection radar signal received from monitored subject supported by a support surface. Reflection radar signal sampled and signal portion extracted at range of subject, signal portion consisting of in-phase and quadrature signal components. Temporal difference in-phase and quadrature signals are derived and summed to form a summation signal. Adaptive thresholding applied to summation signal to establish threshold boundaries for at least one adaptive threshold for respective samples of summation signal. Motion index profile including motion index over time window is derived by normalization of summation signal according to each adaptive threshold. Extend of motion is determined based on motion index profile. Severe motion event, such as posture change, is determined when motion index exceeds selected index threshold for severe motion. Mild motion event is determined when motion index is above lower limit and below selected index threshold for severe motion.

Classes IPC  ?

• G01S 13/93 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques pour prévenir les collisions
• G01S 13/00 - Systèmes utilisant la réflexion ou la reradiation d'ondes radio, p. ex. systèmes radarSystèmes analogues utilisant la réflexion ou la reradiation d'ondes dont la nature ou la longueur d'onde sont sans importance ou non spécifiées
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible

Abrégé

A system and method for monitoring sleep parameters, the method including during a model training phase: receiving millimeter-wave reflection radar signals from reference subjects, extracting in-phase and quadrature components, deriving displacement signals reflecting body micromovements from cardiac and pulmonary activity, segmenting displacement signals into reference segments, forming a training dataset with segments labeled with measured sleep data, and applying machine learning to generate a sleep parameters estimation model; and during a subject monitoring phase: receiving millimeter-wave reflection radar signals from a monitored subject, extracting signal components, deriving displacement signals reflecting body micromovements, segmenting into monitored segments, applying the estimation model to estimate sleep parameters, determining overall sleep duration, and determining a sleep parameters index based on estimated parameters and duration.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/0205 - Évaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p. ex. de l'état cardiaque et respiratoire
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
• A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration

Abrégé

System and method for bed occupancy monitoring. Millimeter-wave reflection radar signal received from bed in monitoring area. Reflection radar signal sampled and signal portion extracted at range of subject of bed, signal portion consisting of in-phase and quadrature signal components. Median zero- crossing (MZC) derived over selected time window from whichever signal component has larger magnitude. Bed occupancy state of bed is determined based on MZC, by comparing to a middle threshold, determining an empty bed state when MZC is above middle threshold, and determining an occupied bed state when MZC below middle threshold. Transitional occupancy state is determined by comparing MZC to a low threshold and a high threshold, determining an entering bed state when MZC below low threshold for lag period, and determining an exiting bed state when MZC above high threshold and waveform characteristic detected in a signal component or MZC exceeds high threshold for sustained period.

Classes IPC  ?

• G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
• G01S 13/62 - Détermination du sens d'un mouvement
• G01S 13/04 - Systèmes déterminant la présence d'une cible
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre

Abrégé

Method and system for deriving interbeat interval (IB1) measurement of subject. A radar device receives a reflection radar signal reflected from subject. A signal portion of reflection radar signal at a range of subject is extracted, the signal portion collected over predefined intervals and consisting of an in-phase component and a quadrature component. The signal portion is filtered by applying a complex valued continuous wavelet transform (CWT) to derive a time domain ballistocardiograph (BCG) signal with cyclically repeating features, such that the time displacement between repeating features of the derived BCG signal is representative of a first heartbeat interval measurement of subject. At least one segment of the BCG signal over a selected time duration may be identified using a matrix profile technique, such that the time displacement between successive identified segments is representative of a second heartbeat interval measurement. Radar signal may be THz/millimeter-wave and FMCW radar signal.

Classes IPC  ?

• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/319 - Circuits de simulation de signaux ECG

Abrégé

System and method for contactless blood pressure determination. During a training phase, for each of a plurality of reference subjects, a millimeter-wave reflection radar signal reflected from a respective reference subject is received and sampled, a signal portion at subject range is extracted and segmented into segments of selected segment duration, a training dataset of training samples from plurality of reference subjects is formed, each training sample including respective segment labeled with reference blood pressure measurement for segment duration obtained using blood pressure detector, and machine learning process is applied to training dataset to generate estimation model. During a monitoring phase, a millimeter-wave reflection radar signal reflected from a monitored subject is received and sampled, a signal portion at subject range is extracted and segmented into segments of selected segment duration, and estimation model is applied to monitoring samples of segments to determine a blood pressure estimate of monitored subject.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• G16H 40/00 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santéTIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux

Abrégé

Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimeter-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject identification may be utilized for healthcare monitoring applications.

Classes IPC  ?

• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz

Abrégé

Method and system for monitoring sleep apnea. During a subject monitoring phase, a radar device receives a millimeter-wave reflection radar signal reflected from a monitored subject, the signal sampled and a signal portion at subject range including in-phase and quadrature components is extracted. A displacement signal reflecting micromovements associated with cardiac and pulmonary activity is derived and segmented into monitored subject segments, each having a selected segment duration corresponding to segment duration of reference subjects of a model training phase. An apnea event estimation model is applied to a dataset of monitoring samples, each sample including a respective monitored subject segment, to predict a number of apnea events of monitored subject segments over a monitored period. Sleep status of monitored subject is detected and overall sleep duration during monitored period is determined. Apnea-hypopnea index is determined based on predicted number of apnea events and determined sleep duration during monitored period.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre

Abrégé

Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.

Classes IPC  ?

• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• G01S 13/34 - Systèmes pour mesurer la distance uniquement utilisant la transmission d'ondes continues, soit modulées en amplitude, en fréquence ou en phase, soit non modulées utilisant la transmission d'ondes continues modulées en fréquence, tout en faisant un hétérodynage du signal reçu, ou d’un signal dérivé, avec un signal généré localement, associé au signal transmis simultanément

Abrégé

Apparatus and methods are described including deriving a subject's heart rate from in-phase and the quadrature signals received by a radar. The in-phase and quadrature signals are processed to generate two or more outputs using two or more respective methods. For each of the two or more outputs, for each of a plurality of time segments, the subject's heart rate is derived from the filtered signal, and quality scores are assigned to the subject's heart rate as derived for each of the plurality of time segments from each of the two or more outputs. At least partially based upon the quality scores, the subject's heart rate is derived using the output of one of the methods. Other applications are also described.

Classes IPC  ?

• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• G01S 7/35 - Détails de systèmes non impulsionnels
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible

Abrégé

Method and system for deriving interbeat interval (IBl) measurement of subject. A radar device receives a reflection radar signal reflected from subject. A signal portion of reflection radar signal at a range of subject is extracted, the signal portion collected over predefined intervals and consisting of an in-phase component and a quadrature component. The signal portion is filtered by applying a complex valued continuous wavelet transform (CWT) to derive a time domain ballistocardiograph (BCG) signal with cyclically repeating features, such that the time displacement between repeating features of the derived BCG signal is representative of a first heartbeat interval measurement of subject. At least one segment of the BCG signal over a selected time duration may be identified using a matrix profile technique, such that the time displacement between successive identified segments is representative of a second heartbeat interval measurement. Radar signal may be THz/millimeter-wave and FMCW radar signal.

Classes IPC  ?

• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

Abrégé

Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimetre-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject is identification may be utilized for healthcare monitoring applications.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre

Abrégé

Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimetre-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject identification may be utilized for healthcare monitoring applications.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre

Abrégé

Apparatus and methods are described including deriving a subject's heart rate from in- phase and the quadrature signals received by a radar. The in-phase and quadrature signals are processed to generate two or more outputs using two or more respective methods. For each of the two or more outputs, for each of a plurality of time segments, the subject's heart rate is derived from the filtered signal, and quality scores are assigned to the subject's heart rate as derived for each of the plurality of time segments from each of the two or more outputs. At least partially based upon the quality scores, the subject's heart rate is derived using the output of one of the methods. Other applications are also described.

Classes IPC  ?

• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible
• G01S 13/02 - Systèmes utilisant la réflexion d'ondes radio, p. ex. systèmes du type radar primaireSystèmes analogues
• G01S 13/50 - Systèmes de mesure basés sur le mouvement relatif à la cible
• G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques

Abrégé

Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.

Classes IPC  ?

• G01S 13/32 - Systèmes pour mesurer la distance uniquement utilisant la transmission d'ondes continues, soit modulées en amplitude, en fréquence ou en phase, soit non modulées
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible

Abrégé

The present invention provides a system and a method for denoising motion artifacts from vital signs signals comprising steps of receiving one or more reflected signals from at least one subject, generating a time sequence buffer of reflected signals of predefined duration for vital signals processing, source separation and a component selection, and estimating and tracking vital signs of the source separation and a component selection.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/0205 - Évaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p. ex. de l'état cardiaque et respiratoire
• A61B 5/021 - Mesure de la pression dans le cœur ou dans les vaisseaux sanguins
• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
• A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/029 - Mesure du débit de sang à la sortie du cœur, p. ex. volume éjecté par minute
• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz

Abrégé

The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.

Classes IPC  ?

• A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/16 - Dispositifs pour la psychotechnieTest des temps de réaction

Abrégé

The present invention provides a system and a method for denoising motion artifacts from vital signs signals comprising steps of receiving one or more reflected signals from at least one subject, generating a time sequence buffer of reflected signals of predefined duration for vital signals processing, source separation and a component selection, and estimating and tracking vital signs of the source separation and a component selection.

Classes IPC  ?

• A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
• A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/026 - Mesure du débit sanguin
• A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
• G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux

Abrégé

The present invention provides a system and a method for denoising motion artifacts from vital signs signals comprising steps of receiving one or more reflected signals from at least one subject, generating a time sequence buffer of reflected signals of predefined duration for vital signals processing, source separation and a component selection, and estimating and tracking vital signs of the source separation and a component selection.

Classes IPC  ?

• A61B 5/021 - Mesure de la pression dans le cœur ou dans les vaisseaux sanguins
• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• A61B 5/026 - Mesure du débit sanguin
• A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires

Abrégé

The present invention provides a system and method of vital signs determination of one or more objects in a predefined space, comprising: at least one transceiver means configured to transmit and receive one or more signals in a multiplexing manner and processing means coupled to the transceiver means configured for processing first signal reflected from a first object to determine the vital signs of the first object and processing a second signal reflected from a second object to determine the vital signs of the second object. The processing means comprises instructions of utilizing a plurality of fixed predefined focused beams by the transceiver means and orthogonal multiplexing to provide a first beam associated with a first object vital signs signal and a second beam associated with a second object vital signs signal.

Classes IPC  ?

• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• B60R 21/015 - Circuits électriques pour déclencher le fonctionnement des dispositions de sécurité en cas d'accident, ou d'accident imminent, de véhicule comportant des moyens pour détecter la présence ou la position des passagers, des sièges des passagers ou des sièges pour enfants, p. ex. pour mettre hors service le déclenchement
• G01S 13/56 - Discrimination entre objets fixes et mobiles ou entre objets se déplaçant à différentes vitesses pour la détection de présence
• G01S 7/35 - Détails de systèmes non impulsionnels
• G01S 7/41 - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe utilisant l'analyse du signal d'écho pour la caractérisation de la cibleSignature de cibleSurface équivalente de cible
• G01S 13/34 - Systèmes pour mesurer la distance uniquement utilisant la transmission d'ondes continues, soit modulées en amplitude, en fréquence ou en phase, soit non modulées utilisant la transmission d'ondes continues modulées en fréquence, tout en faisant un hétérodynage du signal reçu, ou d’un signal dérivé, avec un signal généré localement, associé au signal transmis simultanément
• G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques

Abrégé

The present invention relates to method and system for determining the status of one or more objects in a predefined space, comprising: at least one transceiver means configured to transmit and receive a signal and, processing means coupled to the transceiver means for processing the signal reflected from a first object to determine the status and/or vital signs of the first object simultaneously, within the predefined space; wherein the transceiver means coupled to processing means are positioned in asymmetric arrangement configured to provide FMCW based range grid map associated with the first object status derived from the distance estimation between a predefined location and the transceiver means and/or detected motion, and/or FMCW based range grid map associated with first object vital sign derived from deleted motion.

Classes IPC  ?

• G01S 13/04 - Systèmes déterminant la présence d'une cible
• G01S 13/88 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques
• B60R 21/015 - Circuits électriques pour déclencher le fonctionnement des dispositions de sécurité en cas d'accident, ou d'accident imminent, de véhicule comportant des moyens pour détecter la présence ou la position des passagers, des sièges des passagers ou des sièges pour enfants, p. ex. pour mettre hors service le déclenchement

Abrégé

An antenna pattern integrated-on-chip for transmitting and/or receiving sub-terahertz and terahertz (THZ) signal& The antenna pattern comprising: a first conductor having a bi-circular structure; a second conductor having a bi-circular structure connected to the first bi-circular structure. The bi-circular structures comprising a first conductive circular lobe having a radius (Rx) and a second circular lobe having a radius (Rc), such that said Rx≥Rc. The first bi-circular and the second bi-circular characterized by at least one port thereby, having an area of intersection between the first bi-circular and the second lei-circular, forming an ultra-wideband (UWB) frequency response of more than about 100% bandwidth.

Classes IPC  ?

• H01Q 1/22 - SupportsMoyens de montage par association structurale avec d'autres équipements ou objets
• H01Q 9/28 - Éléments coniques, cylindriques, en cage, en ruban, en treillis ou éléments analogues ayant une surface de rayonnement étendueÉléments comportant deux surfaces coniques ayant le même axe et opposées par leurs sommets et alimentés par des lignes de transmission à deux conducteurs
• H01Q 21/06 - Réseaux d'unités d'antennes, de même polarisation, excitées individuellement et espacées entre elles

Abrégé

The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi- periodic signal information components.

Classes IPC  ?

• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
• A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires

Produits et services

Terahertz and sub-Terahertz radiation components and detectors for applications in the fields of security, Homeland security, automotive, IoT, computer game programs, spectroscopy, health and well-being; sub-Terahertz sensor; sensing and processing platform, comprising of a micro-radar or THz or sub-THz sensors and software for signal processing and data interpretation; sensing and imaging systems, based on Terahertz frequencies, for measuring and monitoring of physiological characteristics for use in the automotive, medical, security, safety, Homeland security, gaming and IoT industries; antennas; sub-Terahertz micro-radar antenna on chip, namely, silicon chip antenna, SiGe chip antenna and InP chip antenna and ceramic patch antennas, and chip antennas used in communications and sensing applications; multilayer chip antennas; sensor chips for scientific use; sensor chips for medical use, used to monitor and warn regarding vital signs, respiration rate, heart rate, micro-movements of the skin and body, as well as physiological parameters, skin's and body electromagnetic properties; sensor chips for wireless use and in IoT enabled devices; radar and micro-radar apparatus, antennas and detectors; silicon chips, germanium chips, SiGe chips, InP chips; computer chips; computer software for use with micro-radar technologies; computer game software; computer software for use with micro-radar detectors for use on medical devices; radar object detectors for use on medical devices; radar object detectors for use on vehicles; digital signal processors; software for digital signal processing; optical communications systems comprised of optical and electronic hardware and computer software for the transmission of data between two points; radar receivers with amplifiers; radar receivers; radar transmitters; radar reflector apparatus. Medical and therapeutic devices, apparatus and systems, namely, a force and motion sensing apparatus for measuring, detecting and monitoring micro-movements of the body and physical, mental, emotional and physiological parameters and alerting of life threatening events; imaging sensors, monitors and detectors for medical purposes. Custom design and engineering of optical systems that measure Terahertz and sub-Terahertz radiation; scientific research and design relating to the field of optics, Terahertz and sub-Terahertz radiation and data interpretation; scientific and technological services and research and design relating thereto, namely, design of optics electronic components and devices; design of mechanical and micromechanical components; design of mechanical, electromechanical and optoelectronic apparatus and instruments; design of integrated circuits in the field of Terahertz sensing technology; computer software design in the field of Terahertz sensing technology; radar detection; technical verification and validation of instrumentation radar systems.

Produits et services

Terahertz and sub-Terahertz radiation components and detectors for applications in the fields of security, homeland security, automotive, IoT, computer game programs, spectroscopy, health and well-being; sub-Terahertz sensor; sensing and processing platform, comprising of a micro-radar or THz or sub-THz sensors and software for signal processing and data interpretation; sensing and imaging systems, based on Terahertz frequencies, for measuring and monitoring of physiological characteristics for use in the automotive, medical, security, safety, homeland security, gaming and IoT industries; antennas; sub-Terahertz micro-radar antenna on chip, namely, silicon chip antenna, SiGe chip antenna and InP chip antenna and ceramic patch antennas, and chip antennas used in communications and sensing applications; multilayer chip antennas; sensor chips for scientific use; sensor chips for medical use, used to monitor and warn regarding vital signs, respiration rate, heart rate, micro-movements of the skin and body, as well as physiological parameters, skin's and body electromagnetic properties; sensor chips for wireless use and in IoT enabled devices; radar and micro-radar apparatus, antennas and detectors; silicon chips, germanium chips, SiGe chips, InP chips; computer chips; computer software for use with micro-radar technologies; computer game software; computer software for use with micro-radar detectors for use on medical devices; radar object detectors for use on medical devices; radar object detectors for use on vehicles; digital signal processors; software for digital signal processing; optical communications systems comprised of optical and electronic hardware and computer software for the transmission of data between two points; radar receivers with amplifiers; radar receivers; radar transmitters; radar reflector apparatus. Medical and therapeutic devices, apparatus and systems, namely, a force and motion sensing apparatus for measuring, detecting and monitoring micro-movements of the body and physical, mental, emotional and physiological parameters and alerting of life threatening events; imaging sensors, monitors and detectors for medical purposes. Custom design and engineering of optical systems that measure Terahertz and sub-Terahertz radiation; scientific research and design relating to the field of optics, Terahertz and sub-Terahertz radiation and data interpretation; scientific and technological services and research and design relating thereto, namely, design of optics electronic components and devices; design of mechanical and micromechanical components; design of mechanical, electromechanical and optoelectronic apparatus and instruments; design of integrated circuits in the field of Terahertz sensing technology; computer software design in the field of Terahertz sensing technology; radar detection; technical verification and validation of instrumentation radar systems.

Produits et services

Terahertz and sub-Terahertz radiation [ components and ] detectors for applications in the fields of [ security, homeland security, automotive, IoT, computer game programs, spectroscopy, ] health and well-being; sub-Terahertz sensor; sensing and processing platform, comprising of a micro-radar or THz or sub-THz sensors and software for signal processing and data interpretation; sensing and imaging systems, based on Terahertz frequencies, for measuring and monitoring of physiological characteristics for use in the [ automotive, ] medical, [ security, safety, homeland security, gaming ] and IoT industries; [ antennas; sub-Terahertz micro-radar antenna on chip, namely, silicon chip antenna, SiGe chip antenna and InP chip antenna and ceramic patch antennas, and chip antennas used in communications and sensing applications; multilayer chip antennas; ] sensor chips for scientific use; sensor chips for medical use, used to monitor and warn regarding vital signs, respiration rate, heart rate, micro-movements of the skin and body, as well as physiological parameters, skin's and body electromagnetic properties; [ sensor chips for wireless use and in IoT enabled devices; ] radar and micro-radar apparatus, antennas and detectors; [ silicon chips, germanium chips, SiGe chips, InP chips; computer chips; ] computer software for use with micro-radar technologies; [ computer game software; ] computer software for use with micro-radar detectors for use on medical devices; radar object detectors for use on medical devices; [ radar object detectors for use on vehicles; ] digital signal processors; software for digital signal processing; [ optical communications systems comprised of optical and electronic hardware and computer software for the transmission of data between two points; ] radar receivers with amplifiers; radar receivers; radar transmitters; radar reflector apparatus Medical and therapeutic devices, apparatus and systems, namely, a force and motion sensing apparatus for measuring, detecting and monitoring micro-movements of the body and physical, mental, emotional and physiological parameters and alerting of life threatening events; imaging sensors, monitors and detectors for medical purposes [ Custom design and engineering of optical systems that measure Terahertz and sub-Terahertz radiation; scientific research and design relating to the field of optics, Terahertz and sub-Terahertz radiation and data interpretation; scientific and technological services and research and design relating thereto, namely, design of optics electronic components and devices; design of mechanical and micromechanical components; design of mechanical, electromechanical and optoelectronic apparatus and instruments; design of integrated circuits in the field of Terahertz sensing technology; computer software design in the field of Terahertz sensing technology; radar detection; technical verification and validation of instrumentation radar systems ]

Abrégé

An antenna pattern integrated-on-chip for transmitting and/or receiving sub-terahertz and terahertz (THZ) signals. The antenna pattern comprising: a first conductor having a bi-circular structure; a second conductor having a bi-circular structure connected to the first bi-circular structure. The bi- circular structures comprising a first conductive circular lobe having a radius (Rx) and a second circular lobe having a radius (Rc), such that said Rx>Rc. The first bi-circular and the second bi-circular characterized by at least one port thereby, having an area of intersection between the first bi-circular and the second bi-circular, forming an ultra-wideband (UWB) frequency response of more than about 100% bandwidth.

Classes IPC  ?

• H01Q 1/22 - SupportsMoyens de montage par association structurale avec d'autres équipements ou objets
• H01Q 9/28 - Éléments coniques, cylindriques, en cage, en ruban, en treillis ou éléments analogues ayant une surface de rayonnement étendueÉléments comportant deux surfaces coniques ayant le même axe et opposées par leurs sommets et alimentés par des lignes de transmission à deux conducteurs
• H01Q 21/06 - Réseaux d'unités d'antennes, de même polarisation, excitées individuellement et espacées entre elles

Abrégé

A system for non-invasively detecting vital signs of a subject, including a) a sub- THz beam source, b) an optical interferometer that is configured to accept the sub-THz beam, split the sub-THz beam into a reference beam and a measurement beam, focus the measurement beam onto a subject, accept a reflection of the beam from the subject and combine the reflection of the measurement beam with the reference beam; c) a detector configured to detect the combined beam; and an electronic circuit configured to receive and analyze the detected combined beam and identify vital signs of the subject.

Classes IPC  ?

• A61B 5/05 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio
• A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
• A61B 5/113 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre se produisant au cours de la respiration

Abrégé

An imaging sensor for accepting terahertz signals, including a die made of a dielectric material, one or more antennas for receiving terahertz signals, positioned on top of the die or in an upper layer of the die, each antenna having a CMOS detector electrically coupled to the antenna and positioned in the die below the antenna, a metal shield layer in the die below the antennas and above the CMOS detectors, shielding the CMOS detector from interference signals, a shielding layer under the die comprising a back metal coating and/or a layer of silver epoxy glue for attaching the bottom of the die to a lead frame.

Classes IPC  ?

• H01L 27/14 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des composants semi-conducteurs sensibles aux rayons infrarouges, à la lumière, au rayonnement électromagnétique d'ondes plus courtes ou au rayonnement corpusculaire, et spécialement adaptés, soit comme convertisseurs de l'énergie dudit ra
• H01L 27/146 - Structures de capteurs d'images
• H04N 5/378 - Circuits de lecture, p.ex. circuits d’échantillonnage double corrélé [CDS], amplificateurs de sortie ou convertisseurs A/N
• G01J 5/08 - Dispositions optiques
• H01Q 1/22 - SupportsMoyens de montage par association structurale avec d'autres équipements ou objets
• H01Q 1/52 - Moyens pour réduire le couplage entre les antennesMoyens pour réduire le couplage entre une antenne et une autre structure
• H01Q 9/28 - Éléments coniques, cylindriques, en cage, en ruban, en treillis ou éléments analogues ayant une surface de rayonnement étendueÉléments comportant deux surfaces coniques ayant le même axe et opposées par leurs sommets et alimentés par des lignes de transmission à deux conducteurs
• H01Q 15/08 - Dispositifs de réfraction ou diffraction, p. ex. lentille, prisme constitués par une matière diélectrique solide
• H01Q 19/06 - Combinaisons d'éléments actifs primaires d'antennes avec des dispositifs secondaires, p. ex. avec des dispositifs quasi optiques, pour donner à une antenne une caractéristique directionnelle désirée utilisant des dispositifs de réfraction ou de diffraction, p. ex. lentilles
• H01Q 19/10 - Combinaisons d'éléments actifs primaires d'antennes avec des dispositifs secondaires, p. ex. avec des dispositifs quasi optiques, pour donner à une antenne une caractéristique directionnelle désirée utilisant des surfaces réfléchissantes
• H01Q 21/06 - Réseaux d'unités d'antennes, de même polarisation, excitées individuellement et espacées entre elles
• H01Q 25/00 - Antennes ou systèmes d'antennes fournissant au moins deux diagrammes de rayonnement
• G01J 5/20 - Pyrométrie des radiations, p. ex. thermométrie infrarouge ou optique en utilisant des détecteurs électriques de radiations en utilisant des éléments résistants, thermorésistants ou semi-conducteurs sensibles aux radiations, p. ex. des dispositifs photoconducteurs