A health data processing system for muscle tone rehabilitation simulation assessment

By establishing displacement screening and feature processing modules, and utilizing spatial displacement variance and motion state phase space matrix, negative mutation pulses are captured, solving the problem of distinguishing between physiological synergistic movements and pathological spasticity in muscle tone assessment, and realizing the digitization and accuracy of muscle tone assessment.

CN122201797APending Publication Date: 2026-06-12XIAMEN CUBE FANTASY TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAMEN CUBE FANTASY TECH CO LTD
Filing Date
2026-05-14
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

Existing technologies struggle to effectively distinguish between physiological synergistic movements and pathological spasticity in muscle tone rehabilitation assessments, leading to distorted assessment results and a lack of semantic parsing capabilities in complex dynamic scenarios.

⚗Method used

By establishing a displacement screening module and a feature processing module, data is screened using the spatial displacement variance and compensation tolerance parameters within a preset sliding window. A motion state phase space matrix is ​​constructed, negative mutation pulses are captured, and an assessment index characterizing the degree of muscle tone spasm is generated.

🎯Benefits of technology

It achieves a digital and purified representation of muscle tone status, eliminates interference from non-targeted movement noise, ensures the consistency and accuracy of assessment results, and improves the objectivity and reproducibility of rehabilitation assessment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of health care informatics, and discloses a health data processing system for muscle tension rehabilitation simulation evaluation, comprising a data acquisition module, a displacement screening module and a feature processing module; the displacement screening module is used for calculating the spatial displacement variance of the trunk reference node in the sliding window, and the valid node coordinate sequence is extracted according to the comparison result of the variance and the preset compensation tolerance parameter; the feature processing module is used for constructing the motion state phase space matrix, capturing the negative mutation pulse of the angular acceleration value to locate the resistance surge operating point, and calculating the Euclidean distance between the point and the phase space reference track; the present application filters the kinematic noise generated by the trunk compensation through the clinical constraint gating mechanism, converts the abstract clinical touch experience into a quantitative evaluation index based on the phase space geometric deviation, and effectively improves the objectivity and clinical reference value of the muscle tension evaluation.
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