AGENDA GENERATION SYSTEM
    1.
    发明公开

    公开(公告)号:US20230181037A1

    公开(公告)日:2023-06-15

    申请号:US18077264

    申请日:2022-12-08

    CPC classification number: A61B5/0022 A61B5/11

    Abstract: The present invention relates to an agenda generation system (10), comprising:



    at least one first sensor unit (20); an input unit (30); a processing unit (40); and at least one output unit (50);
    wherein the at least one first sensor unit is configured to acquire physiological data of a subject over an extended period of time prior to a current time point and provide the physiological data to the processing unit, wherein the physiological data is assigned to different times during the extended period of time, and wherein the physiological data comprises one or more of: heart rate, ventricular high rate, blood pressure, respiration rate, skin conductance, step count;
    wherein the at least one first sensor unit is configured to acquire sleep data of the subject over the extended period of time and provide the sleep data to the processing unit, wherein the sleep data is assigned to different times during the extended period of time, and wherein the sleep data comprises one or more of: duration of sleep; total daily sleep duration, onset of sleep, quality of sleep,
    wherein the input unit is configured to receive details of undertaken work data and undertaken leisure activity data of the subject over the extended period of time and provide the undertaken work data and undertaken leisure activity data to the processing unit, and wherein the undertaken work data and undertaken leisure activity data is assigned to different times during the extended period of time;
    wherein the input unit is configured to receive details of planned work data and planned leisure activity data of the subject after the current time point and provide the planned work data and planned leisure activity data to the processing unit;
    wherein the processing unit is configured to implement at least one trained machine learning algorithm to determine a sleep schedule comprising a planned onset and duration of sleep and/or determine a work schedule comprising scheduling of the planned work data and/or determine a leisure schedule comprising scheduling of the planned leisure activity data, and wherein the determination comprises analysis of: the physiological data, the sleep data, the undertaken work data, the undertaken leisure activity data, the planned work data, and the planned leisure activity data; and
    wherein one or more of the at least one output unit is configured to output the sleep schedule and/or the work schedule and/or the leisure schedule.

    DETERMINING A SLEEP SCHEDULE
    5.
    发明公开

    公开(公告)号:US20240232746A1

    公开(公告)日:2024-07-11

    申请号:US18559122

    申请日:2022-05-03

    CPC classification number: G06Q10/063116

    Abstract: According to an aspect, there is provided a computer-implemented method for determining a sleep schedule (20; 40; 60) for a subject. The method comprises obtaining (101) information indicating a shift working pattern for the subject, the shift working pattern comprising at least one night shift, information indicating a required duration of sleep for the subject, and information relating to any personal activities to be undertaken by the subject during the day before or day after the at least one night shift. The method also comprises analyzing (103) the obtained information to determine a sleep schedule (20; 40; 60) for the subject. The sleep schedule (20; 40; 60) comprises two or more sleep windows in the day before or day after the at least one night shift in which the subject is to sleep, with the two or more sleep windows being scheduled according to the required duration of sleep for the subject and according to any personal activities to be undertaken by the subject.

    METHOD FOR ESTIMATING DEVICE FIT USING PHYSIOLOGICAL DATA

    公开(公告)号:US20230211117A1

    公开(公告)日:2023-07-06

    申请号:US18082991

    申请日:2022-12-16

    Abstract: Methods and systems are provided for assisting a user of a wearable biosignal monitoring device (2) in adjusting the device to achieve optimum fit and positioning. The biosignal monitoring devices considered use integrated bio sensors (5) to monitor the user’s physiological activity for various purposes such as tracking daily activity patterns, determining mood, and monitoring sleep stages, among others. It is determined either during device setup or during primary use of the device whether the current fit and positioning of the device (2) enable the bio sensors (5) to properly sense the physiological signals needed for the device to perform its primary function. The user is then informed either after initial device setup whether adjustments need to be made in order to optimize device function during primary use, or is informed after primary use whether adjustments need to be made in order to improve device function during future primary use.

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