SYSTEM AND METHOD FOR CLASSIFYING GAIT AND POSTURE ABNORMALITY

    公开(公告)号:US20240115159A1

    公开(公告)日:2024-04-11

    申请号:US18265744

    申请日:2021-12-07

    IPC分类号: A61B5/103 A61B5/00 G06V10/80

    摘要: A method comprising: receiving, with respect to each of a plurality of subjects, data comprising at least one of: (i) a data representing center of pressure (COP) of a subject during at least on gait phase; (ii) a data representing center of gravity (COG) of the subject during at least on gait phase; and; (iii) a data representing posture of the subject during at least on gait phase; processing the data to extract a plurality of features representing the data, at a training stage, training a machine learning model on a training set comprising all of the plurality of features; and at an inference stage, applying the trained machine learning model to a target set of the features obtained for ma target subject, to classify posture, proprioception and/or kinesthesis of the target subject.

    SYSTEM AND METHOD FOR DETERMINING REGIONAL SENSOR DATA

    公开(公告)号:US20240065369A1

    公开(公告)日:2024-02-29

    申请号:US18449958

    申请日:2023-08-15

    IPC分类号: A43B3/44 A61B5/00 A61B5/103

    摘要: A system, method and computer program product for determining regional sensor data. Sensor readings are obtained from a corresponding plurality of sensors. The sensors are grouped into a plurality of sensor regions. Each sensor region includes at least one region-associated sensor from the plurality of sensors. A plurality of regional sensor values are determined for the plurality of sensor regions by, for each sensor region: identifying a region-specific model, the region-specific model specifying how the at least one regional sensor value for that sensor region is to be calculated; and generating the at least one regional sensor value for that sensor region by applying the region-specific model to the sensor readings obtained from the at least one region-associated sensor corresponding to that sensor region. The regional sensor values can account for sensor and conductivity failures and allow the measurement resolution of the sensing unit to be adjusted.

    SYSTEM AND METHOD FOR QUANTIFYING AN INJURY RECOVERY STATE

    公开(公告)号:US20240000378A1

    公开(公告)日:2024-01-04

    申请号:US18335493

    申请日:2023-06-15

    IPC分类号: A61B5/00 A61B5/103

    摘要: A system, method and computer program product for quantitatively assessing an injury recovery state for a user. Sensor data can be obtained from a plurality of sensors positioned to contact the user while the user performs a set of specified activities. The sensors can be mounted to a user using one or more wearable devices. Metric values can be calculated from the sensor data obtained while the user performs the specified activities. The metric values can be compared to baseline values for the user. A quantified injury recovery state value can be calculated based on the comparison of the metric values with the respective baseline values. The quantified injury recovery state value can provide a quantitative assessment of a user's injury recovery or injury risk that can be used to provide activity recommendations and/or return-to-play (RTP) decisions in athletics.