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基于肌电特征提取的智能电刺激仪
引用本文:郭旭东,徐秀林,张东衡.基于肌电特征提取的智能电刺激仪[J].生物医学工程学杂志,2011(2).
作者姓名:郭旭东  徐秀林  张东衡
作者单位:上海理工大学医疗器械与食品学院;上海医疗器械高等专科学校;
基金项目: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。

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  

An Intelligent Stimulator Based on Electromyography Feature Extraction
Guo Xudong Xu Xiulin Zhang Dongheng.An Intelligent Stimulator Based on Electromyography Feature Extraction[J].Journal of Biomedical Engineering,2011(2).
Authors:Guo Xudong Xu Xiulin Zhang Dongheng
Institution:Guo Xudong1 Xu Xiulin1 Zhang Dongheng2 1(School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) 2(Shanghai Medical Instrumentation College,China)
Abstract: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...
Keywords:Electromyography biofeedback  Functional electrical stimulation  Bidirectional current monitoring  Feature extraction  
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