A SYSTEM FOR ASSESSING HUMAN MOVEMENT AND BALANCE

    公开(公告)号:US20230218199A1

    公开(公告)日:2023-07-13

    申请号:US17995548

    申请日:2021-04-09

    Abstract: Systems and methods for assessing, monitoring, or theranosing a condition or disorder based on a comparison of limb stability for one or more limbs of a subject from a baseline. The method includes placing two or more inertial measurement sensors on the limbs of the subject, acquiring baseline limb excursion data from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity by tracking the relative displacement of the respective two or more inertial measurement sensors; acquiring post-injury limb excursion data after an injury from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity; and determining the activity clearance index as a function of a comparison of the baseline limb excursion data compared to the post-injury limb excursion data.

    QUANTIFICATION OF SYMMETRY AND REPEATABILITY IN LIMB MOTION FOR TREATMENT OF ABNORMAL MOTION PATTERNS

    公开(公告)号:US20220287590A1

    公开(公告)日:2022-09-15

    申请号:US17639510

    申请日:2020-09-04

    Abstract: Quantification of symmetry and repeatability in limb motion for treating abnormal motion patterns. In the context of gait analysis, gait data may be acquired as signals from inertial sensors (e.g., gryoscopes). Each signal represents an angular velocity of a lower limb segment of a subject during ambulation. Each signal may be segmented into stride signals, and a gait metric may be calculated based on the stride signals. The gait metric may comprise a symmetry metric that represents a similarity of the stride signals across two signals acquired for at least one pair of contralateral limb segments. Additionally or alternatively, the gait metric may comprise a repeatability metric that represents a similarity of the stride signals within a signal. In other embodiments, other types of sensors may be used and/or motion data may be acquired and metrics calculated for other types of motions and/or for upper limb segments.

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