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    Devices, Systems, and Methods for Mental Health Assessment
    1.
    发明公开
    Devices, Systems, and Methods for Mental Health Assessment 审中-公开

    公开(公告)号：US20240285205A1

    公开(公告)日：2024-08-29

    申请号：US18572824

    申请日：2022-06-24

    申请人： Innsightful, Inc.

    发明人： Farzad Ehsani

    IPC分类号： A61B5/16 ,  A61B5/00

    CPC分类号： A61B5/165 ,  A61B5/4803 ,  A61B5/7267 ,  A61B5/7282

    摘要： A device, system, and method for assessing and managing mental health of an individual. A device is configured to evaluate data which corresponds to one or more biosignals of the individual, and to detect the intensity of both positive and negative emotional valence in the individual. The individual may have neither positive nor negative emotional valence (e.g., when at rest), only one of positive and negative emotional valence, or some amount of both. If the detected negative emotional valance surpasses a first threshold, the device or system may provide an intervention to the individual to help the individual manage stress and improve mental health. If the detected positive emotional valence surpasses a second threshold, the device or system may record information related to the individual's stress level and provide encouragement to help the individual continue the positive activity.

    Health Monitoring System
    2.
    发明公开
    Health Monitoring System 审中-公开

    公开(公告)号：US20240038383A1

    公开(公告)日：2024-02-01

    申请号：US18039751

    申请日：2021-11-30

    申请人： Innsightful, Inc.

    发明人： Farzad Ehsani ,  Demitrios L. Master

    IPC分类号： G16H40/67 ,  G16H50/20

    CPC分类号： G16H40/67 ,  G16H50/20

    摘要： A system for health monitoring comprised of one or more neural networks. A first function of the one or more neural networks includes an autoencoder functionality, tuned to have high recall, configured for monitoring data and for detecting an anomaly within the data. A second function of the one or more neural networks is a false positive reduction (FPR) function, configured for distinguishing false positive anomalies from true positive anomalies by analyzing the data or querying an individual. Confirmed positive anomalies are classified by a classification engine. The system may be configured to train one or more machine learning models thereof, such that the system is trained for monitoring of the individual.

    Devices, Systems, and Methods for Monitoring and Managing Resilience
    3.
    发明公开
    Devices, Systems, and Methods for Monitoring and Managing Resilience 审中-公开

    公开(公告)号：US20240307651A1

    公开(公告)日：2024-09-19

    申请号：US18573098

    申请日：2022-10-21

    申请人： Innsightful, Inc.

    发明人： Farzad Ehsani

    IPC分类号： A61M21/00 ,  A61B5/0531 ,  A61B5/16

    CPC分类号： A61M21/00 ,  A61B5/0531 ,  A61B5/165 ,  A61M2021/0027 ,  A61M2021/005

    摘要： A device, system, and method for assessing and managing resilience of an individual, particularly in regard to levels of stress, anxiety, and hardship the individual is capable of handling. A system is configured to evaluate physiological data of the individual and to estimate a resilience of the individual based on the evaluation. The resilience may relate to an ability of the individual to manage, or not manage, a stressor based on one or more resilience parameters. The system may intervene to help the individual improve their resilience, for example, if the individual has not coped with and/or recovered from a past stressor, is not coping with and/or recovering from a current stressor, and/or is not prepared to cope with and/or recover from a future stressor.