APPARATUS, SYSTEM, AND METHOD FOR MOTION SENSING

    公开(公告)号:US20240404387A1

    公开(公告)日:2024-12-05

    申请号:US18678059

    申请日:2024-05-30

    Abstract: 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.

    METHODS AND APPARATUS FOR DETECTION AND MONITORING OF HEALTH PARAMETERS

    公开(公告)号:US20230190140A1

    公开(公告)日:2023-06-22

    申请号:US17925739

    申请日:2021-05-19

    CPC classification number: A61B5/113 A61B5/4806 A61B5/0816

    Abstract: 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.

    METHODS AND APPARATUS FOR DETECTION OF DISORDERED BREATHING

    公开(公告)号:US20220007965A1

    公开(公告)日:2022-01-13

    申请号:US17293253

    申请日:2019-11-19

    Abstract: Methods and apparatus provide monitoring of a sleep disordered breathing state of a person such as for screening. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) (7304, 7006) 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 sleep disordered breathing. The processor may generate a sleep disordered breathing indicator based on the measure(s) of sleep disordered breathing. Some versions may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type.

    SYSTEMS AND METHODS FOR DIGIT-BASED DIAGNOSTIC CHAIN OF CUSTODY MANAGEMENT

    公开(公告)号:US20240211566A1

    公开(公告)日:2024-06-27

    申请号:US18391237

    申请日:2023-12-20

    CPC classification number: G06F21/32 G16H40/67 G06F1/163

    Abstract: A method includes receiving sensor data from a device worn on one or more digits of a test subject. The method including determining physiological parameter(s) from at least a first portion of the sensor data acquired during a test session. The method including associating the determined physiological parameter(s) with the testing session. The method including authenticating the device by i) determining identification data using at least a second portion of the sensor data, the identification data including identifiable characteristic(s) of the one or more digits; ii) accessing authentication data that includes one or more authentication characteristics; and iii) comparing the identification data with the authentication data to determine a match to authenticate the device. The method including generating a chain of custody determination based at least in part on the authentication of the device. The method including associating the chain of custody determination with the testing session.

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