基于肌电特征提取的智能电刺激仪  

An Intelligent Stimulator Based on Electromyography Feature Extraction

作　　者：郭旭东[1] 徐秀林[1] 张东衡[2] 

机构地区：[1]上海理工大学医疗器械与食品学院,上海200093 [2]上海医疗器械高等专科学校,上海200093

出　　处：《生物医学工程学杂志》2011年第2期260-263,共4页Journal of Biomedical Engineering

基　　金：上海高校选拔培养优秀青年教师科研专项基金资助项目(slg08025);国家高技术研究发展计划(863计划)项目资助(2007AA02Z2482)

摘　　要：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.

关 键 词：肌电生物反馈 功能性电刺激 双向电流监测 特征提取 

分 类 号：TH772.2[机械工程—仪器科学与技术]