SYSTEMS AND METHODS TO DETECT AND CHARACTERIZE STRESS USING PHYSIOLOGICAL SENSORS

    公开(公告)号:US20230233123A1

    公开(公告)日:2023-07-27

    申请号:US18156292

    申请日:2023-01-18

    CPC classification number: A61B5/165 A61B5/486 A61B5/7246 A61B5/6802 A61B5/7267

    Abstract: A method includes receiving multimodal data collected using at least one wearable device during an assessment window. The method also includes extracting biomarker features from the multimodal data, based on changes in the extracted biomarker features. The method also includes detecting that a stress event occurred during the assessment window. The method also includes accessing a plurality of templates of patterns in biomarker features, wherein a first subset of the templates is associated with unhealthy response to stress and a second subset of the templates is associated with healthy response to stress. The method also includes determining whether the stress event corresponds to a healthy response or an unhealthy response based on similarities between a pattern in the extracted biomarker features and the plurality of templates. The method also includes responsive to the stress event corresponding to an unhealthy response, providing a stress management recommendation.

    REAL-TIME LIMB MOTION TRACKING
    34.
    发明申请

    公开(公告)号:US20220265168A1

    公开(公告)日:2022-08-25

    申请号:US17362732

    申请日:2021-06-29

    Abstract: Limb motion tracking using a single sensor can include capturing acceleration data. The acceleration data can be captured in real time by an IMU sensor of a wearable device worn on a limb of a user. Orientation data can be captured in real time by the IMU sensor concurrently with the acceleration data. Estimated positions of joints of the limb can be determined based on the acceleration data and the orientation data, the joints positions estimated using a machine learning model and relative to a coordinate system. Motion of the limb can be tracked based on the estimated positions determined at different times as the user moves the limb.

    System and method for passive subject specific monitoring

    公开(公告)号:US11741986B2

    公开(公告)日:2023-08-29

    申请号:US16999027

    申请日:2020-08-20

    CPC classification number: G10L25/66 G10L15/16

    Abstract: A method includes obtaining, by an electronic device, an audio segment comprising one or more audio events of a target subject. The method also includes extracting, by the electronic device, audio embeddings from the one or more audio events using an embedding model, the embedding model comprising a trained machine learning model. The method further includes comparing, by the electronic device, the extracted audio embeddings with a match profile of the target subject, the match profile generated during an enrollment stage. The method also includes generating, by the electronic device, a label for the audio segment based on whether or not the extracted audio embeddings match the match profile, wherein the label enables correlation of the audio segment with the target subject for monitoring a health condition of the target subject.

    Adaptive respiratory condition assessment

    公开(公告)号:US11717181B2

    公开(公告)日:2023-08-08

    申请号:US17072341

    申请日:2020-10-16

    Abstract: Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.

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