Self-adaptive neuromuscular regulation and control device based on myoelectricity feedback

Through an adaptive neuromuscular control device based on electromyographic feedback, electromyographic sensors and six-axis IMU sensors are used to collect signals, establish a matrix for iteration and matching, and optimize electrical stimulation parameters. This solves the problem that existing electrical stimulation equipment cannot be personalized, and achieves a more accurate and stable electrical stimulation effect.

CN120695350APending Publication Date: 2025-09-26TIANJIN MEDICAL UNIVERSITY GENERAL HOSPITAL
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Patent Information

Application Number
CN202510907403.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-02
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

Existing electrical stimulation devices lack self-regulation functions and are unable to accurately adjust electrical stimulation parameters according to individual differences and muscle synergy changes, resulting in unstable treatment effects and problems of insufficient or excessive stimulation intensity.

Method used

An adaptive neuromuscular control device based on electromyographic feedback is used. Multi-channel electromyographic signals are collected through electromyographic sensors, and spatial weight matrices and activation matrices are established. Iterative processing is performed, and activation curves are extracted and matched with healthy templates. Timing compensation and stimulation parameter adjustment are performed. Combined with a six-axis IMU sensor and a real-time feature calculation module, the electrical stimulation parameters are optimized.

Benefits of technology

It improves the accuracy and safety of electrical stimulation, enhances the synchronization between electrical stimulation and gait phase, and ensures the stability and personalized adaptability of the treatment effect.

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Abstract

The invention discloses a self-adaptive neuromuscular regulation and control device based on myoelectricity feedback. The self-adaptive neuromuscular regulation and control device comprises a myoelectricity sensor attached to the skin surface of a target muscle group. The establishing module is used for establishing an electromyographic signal matrix and respectively establishing a space weight matrix for describing a muscle cooperative activation mode and an activation matrix for describing muscle time sequence activation intensity; and iterating the space weight matrix and the activation matrix to obtain the space weight matrix and the activation matrix after iteration. The time sequence compensation module is used for extracting a target muscle collaborative activation curve from the iterated activation matrix; matching the activation curve with a health template, and determining an activation peak point according to a matching result; and according to the activation peak point, determining whether an activation time difference anomaly exists, and when the activation time difference anomaly exists, performing electrical stimulation compensation based on a time sequence according to the activation time difference anomaly parameters in the next period. The electrical stimulation can be effectively corrected according to the effect, and the neuromuscular regulation and control effect is further improved.
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