MULTIMODAL CONTACTLESS VITAL SIGN MONITORING

    公开(公告)号:US20230128766A1

    公开(公告)日:2023-04-27

    申请号:US17841063

    申请日:2022-06-15

    Abstract: A multimodal, contactless vital sign monitoring system is configured to perform the following operations. Images are received from a video capture device. An image of a subject is identified within the images. The image of the subject is segmented into a plurality of segments. A first analysis is performed on the plurality of segments to identify a color feature. A second analysis is performed of the plurality of segments to identify a motion feature. Using a combination of the color feature and the motion feature a plurality of vital signs for the subject are determined. The first analyzing and the second analyzing are performed in parallel. The plurality of vital signs include one or more of heart rate, respiration rate, oxygen saturation, heart rate variability, and atrial fibrillation.

    SYSTEM AND METHOD FOR STRESS PROFILING AND PERSONALIZED STRESS INTERVENTION RECOMMENDATION

    公开(公告)号:US20240079137A1

    公开(公告)日:2024-03-07

    申请号:US17930017

    申请日:2022-09-06

    CPC classification number: G16H50/20 G16H40/67

    Abstract: A method includes receiving stress-related measurements collected by one or more stress sensors, where the stress-related measurements represent one or more physiological responses of a user to a stressor. The method also includes receiving context data collected by one or more context sensors, where the context data represents a context associated with the user. The method further includes determining stress profile features associated with the user based on the stress-related measurements. The method also includes providing the stress profile features to a trained stress profile identification machine learning model to select a stress profile from among multiple candidate stress profiles for association with the user. The method further includes providing the selected stress profile and the context data to a trained stress intervention recommendation machine learning model to select a stress intervention activity for the user. In addition, the method includes recommending the selected stress intervention activity to the user.

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