Interventional assessment method and device for neurogenic tremor self-training

By collecting and processing motion videos and multimodal physiological signals, and combining posture deviation detection and physiological signal feature fusion, a multidimensional state assessment vector is generated, which solves the problem of low accuracy in self-training assessment for neurogenic tremor and achieves efficient individualized training guidance.

CN122290879APending Publication Date: 2026-06-26BEIJING HUILONGGUAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIVERSITY (BEIJING PSYCHOLOGICAL CRISIS RESEARCH & INTERVENTION CENTER)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING HUILONGGUAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIVERSITY (BEIJING PSYCHOLOGICAL CRISIS RESEARCH & INTERVENTION CENTER)
Filing Date
2026-05-09
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing sports rehabilitation and training monitoring systems have low accuracy in assessing self-training for neurogenic tremor. General movement posture analysis systems do not define specific parameter standards, and single signal acquisition cannot simultaneously assess tremor behavior and autonomic nervous system regulation, resulting in biased assessments and the risk of misjudgment.

Method used

By acquiring and preprocessing motion videos, extracting key joint coordinates, fusing them with multimodal physiological signal features, using detection algorithms to detect pose deviations, generating multidimensional state evaluation vectors, and generating state evaluation reports based on policy library-guided training strategies.

Benefits of technology

It improves the assessment accuracy of self-training for neurogenic tremor, realizes safe and efficient individualized self-intervention, breaks through the limitations of single signal assessment, and ensures the accuracy and comprehensiveness of the assessment.

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Abstract

This application discloses an intervention assessment method and device for self-training in neurogenic tremor. The method includes: preprocessing the initial movement video of the target subject in self-training in neurogenic tremor to obtain a target movement video; determining the target region image of the target subject based on the target movement video to extract the joint coordinates of key points in the target region image; determining multiple target posture parameters based on the joint coordinates of the key points, and determining the posture deviation detection result based on the multiple target posture parameters and multiple preset posture parameters; fusing the posture deviation detection result and the obtained physiological signal features to obtain a multidimensional state assessment vector; determining the target execution strategy based on the strategy library and the multidimensional state assessment vector to guide the target subject to execute the target execution strategy, obtaining the execution result, and determining the state assessment report based on the execution result and the session termination condition.
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