PHYSIOLOGICAL DETECTION SIGNAL QUALITY EVALUATION METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20240164725A1

    公开(公告)日:2024-05-23

    申请号:US18281868

    申请日:2022-05-06

    CPC classification number: A61B5/7221 A61B5/7225 A61B5/7257 A61B5/7267

    Abstract: This application provides a physiological detection signal quality evaluation method, an electronic device, and a storage medium. The method includes: obtaining a data sample set collected by a detection device in different scenarios; selecting sample data of a scenario from the sample data set, and dividing the sample data into physiological data and PPG data; calculating an energy ratio of the physiological data based on the physiological data and the PPG data; separately calculating quality evaluation parameters of sample data of a plurality of scenarios based on energy ratios of the physiological data corresponding to different scenarios; and evaluating, based on the quality evaluation parameters, quality of a physiological detection signal collected by the detection device.

    METHOD AND APPARATUS FOR PREVENTING ACCIDENTAL TOUCH

    公开(公告)号:US20240291918A1

    公开(公告)日:2024-08-29

    申请号:US18041933

    申请日:2022-09-07

    Abstract: Disclosed are a method and an apparatus for preventing an accidental touch, applied to the field of terminal technologies. The method includes: obtaining a quaternion of a terminal; determining, based on the quaternion of the terminal, first information and attitude angle information of the terminal; detecting motion information of the terminal; detecting ambient light information of the terminal; determining, based on the first information, the attitude angle information, the motion information, and the ambient light information, that the terminal is in a first mode; and entering, by the terminal, a screen-off state to reduce power consumption. In addition, the terminal can be prevented from being awakened accidentally in always on display and lock screen-on states, thereby effectively preventing an accidental touch.

    HEART RATE DETECTION METHOD AND ELECTRONIC DEVICE

    公开(公告)号:US20240252052A1

    公开(公告)日:2024-08-01

    申请号:US18017935

    申请日:2022-08-30

    CPC classification number: A61B5/02416 A61B5/681 A61B5/7267 A61B5/742

    Abstract: This application provides a heart rate detection method and an electronic device. Through the solution, when it is detected that a user wearing a smart wearable device is making a first workout, a PPG signal is acquired through a PPG sensor in the smart wearable device; first heart rate data is obtained based on the PPG signal and a first deep sequence neural network model; second heart rate data is obtained based on the PPG signal and a first frequency tracking algorithm model; and the first heart rate data and the second heart rate data are fused to obtain a target heart rate of the user. Because a frequency tracking algorithm can quickly track a heart rate change, thus the solution can compensate for a scenario in which a deep sequence neural network cannot implement timely tracking in the case of a sudden change of heart rate.

    HEART RHYTHM DETECTION METHOD AND ELECTRONIC DEVICE

    公开(公告)号:US20240215840A1

    公开(公告)日:2024-07-04

    申请号:US18266673

    申请日:2022-12-20

    Abstract: A heart rate detection method and an electronic device are provided. The method includes: acquiring a first PPG signal with a first preset duration; determining a plurality of heart rate values based on the first PPG signal; determining a difference of every two adjacent heart rates based on the plurality of heart rate values, the difference of every two adjacent heart rates being used for generating a heart rate difference trajectory graph; acquiring a parameter of a heart rate difference trajectory based on the heart rate difference trajectory graph, the parameter of the heart rate difference trajectory including one or more of the following parameters: an angle, a quantity, an angle standard deviation, and a distance standard deviation; determining a heart rhythm type of the first PPG signal according to the parameter of the heart rate difference trajectory; and displaying the heart rhythm type of the first PPG signal.

    DEEP LEARNING-BASED HEART RATE DETECTION METHOD AND WEARABLE DEVICE

    公开(公告)号:US20240156361A1

    公开(公告)日:2024-05-16

    申请号:US18282321

    申请日:2022-04-20

    Abstract: This application provides a deep learning-based heart rate detection method and a wearable device, and relates to the field of communications technologies. According to this solution, a deep Attention network is trained by using PPG and ACC sensor signals as inputs and using heart rate information and exercise scenario information as model outputs, and heart rate detection is performed by using a model obtained through training. Because motion artifact noise is distributed differently in different scenarios, a nonlinear relationship between a scenario, noise, and a heart rate may be fitted by using a deep Attention network learning mechanism, so that data denoising processing and feature extraction can be adaptively implemented in different scenarios, to achieve effects of signal denoising, signal fusion, and complex scenario identification in a plurality of complex scenarios, thereby canceling interference of motion artifact noise to a PPG signal, and improving precision of heart rate detection.

    PHOTOPLETHYSMOGRAPHY (PPG) BASED CONTROL METHOD AND ELECTRONIC DEVICE

    公开(公告)号:US20250065191A1

    公开(公告)日:2025-02-27

    申请号:US18251511

    申请日:2022-09-16

    Abstract: Embodiments of this application provide a photoplethysmography (PPG) based control method and an electronic device and relate to the field of terminal technologies. The method includes: using, by the electronic device, the plurality of LEDs to emit a light signal corresponding to a first current; using, by the electronic device, at least one of the plurality of PDs to obtain a second current returned by the light signal corresponding to the first current via a human tissue; and reducing, by the electronic device, the first current by using a preset first current step size when the electronic device determines that the second current is greater than a target current; or increasing, by the electronic device, the first current by using the preset first current step size when the electronic device determines that the second current is less than the target current.

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