基于肌电特征提取的智能电刺激仪

An Intelligent Stimulator Based on Electromyography Feature Extraction

为了改善常规电刺激仪的刺激参数不准确、缺少主动治疗模式等缺陷,设计开发了生物反馈式智能电刺激仪。将肌电反馈控制与电刺激相结合,对患者运动肌群的电信号进行无创测量和特征值提取,以肌电特征值作为反馈量控制电刺激仪的输出。创新地实现了基于Delta-sigma技术的肌电信号特征提取及肌电反馈控制,可准确获取肌电特征值,实现了电刺激治疗的智能化,促使患者主动参与训练和治疗;采用刺激电流双向检测技术和可编程式触摸屏人机交互,使刺激参数准确量化。经实验可知:仪器已达到设计要求,实现了既定的功能。

In order to improve the conventional stimulator with non-standard parameters and poor efficacy using the passive mode of the treatment,we developed an intelligent stimulator to combine biofeedback with functional electrical stimulation.Through the non-invasive measurement and feature extraction of electromyography signals,a value of root mean square can be obtained based on delta-sigma computational technique.In the newly designed stimulator,electromyography feature extraction and feedback control were used to intelligently control the rehabilitation treatment.Both bidirectional detection technologies for stimulated current and programmable interactive way using touch-screen were employed so that the treatment parameters can be accurately quantified and set up.The experiment showed that the design requirements were achieved.