基于生物反馈的盆腹肌群协同训练自适应控制系统

By combining multi-channel signal acquisition and adaptive controller, the pelvic floor muscle group and abdominal muscle group collaborative training system is monitored and adjusted in real time, which solves the control instability problem caused by time-varying coupling characteristics in the collaborative training of pelvic and abdominal muscle groups, and realizes the dynamic stability and safety of the system.

CN122018347BActive Publication Date: 2026-07-17HUNAN ACCURATE BIO MEDICAL TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN ACCURATE BIO MEDICAL TECH CO LTD
Filing Date
2026-04-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the collaborative training system for pelvic floor muscles and abdominal muscles cannot adapt to the nonlinear time-varying coupling characteristics of biological muscle groups in real time, resulting in the inability of control parameters to be adapted in a timely manner, which can easily lead to overload damage to biological soft tissues and instability in the dynamic training process.

Method used

An adaptive control strategy is constructed by employing a multi-channel signal acquisition module, a state drift observation module, a dynamic threshold calculation module, and an adaptive controller. This strategy features disturbance feedforward decoupling, transient slew rate limiting, and historical state memory capabilities. By real-time monitoring and dynamic adjustment of the control threshold, the stability of the system under time-varying coupling environments is ensured.

Benefits of technology

It achieves dynamic stability of pelvic and abdominal muscle group coordinated training under biofeedback, suppresses transient oscillations of the system, avoids the risk of system divergence caused by mismatch of control parameters, and ensures steady-state stability and safety of long-term operation.

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Abstract

本发明涉及自动控制技术领域,公开了一种基于生物反馈的盆腹肌群协同训练自适应控制系统,包括状态漂移观测、动态阈值解算及自适应控制模块,系统实时监测主约束变量的幅值衰减率以更新衰减系数,并据此构建包含压摆率限制与幅值饱和的动态安全包络;当扰动变量的一阶时间导数越限时,控制器锁定其输出斜率,本发明通过建立扰动加载速率与主变量响应带宽的动态映射机制,抑制时变耦合系统因高频脉冲扰动引发的动态震荡,实现对被控对象参数漂移的自适应补偿及控制精度的稳态保持。
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