摘要
为了改善常规电刺激仪缺少主动训练模式导致的疗效不佳,在电刺激仪中引入一种新的肌电反馈方法;在肌电反馈设计中,针对病情不一导致的患者肌电幅值跨度大的特点,设计了自适应增益控制及滤波模块;采用了基于Delta-sigma计算技术的均方根值提取方法,检测患者自发肌电是否达到康复训练的阈值要求;并将均方根值作为反馈量控制刺激脉冲的输出;创新地实现了肌电信号的自适应增益调节、特征值提取及反馈控制,促使患者主动参与训练和治疗;经实验可知:系统已达到预定的功能,实现了康复治疗训练过程的智能化。
In order to improve conventional stimulators with poor efficacy using the passive mode of the treatment,a novel method of electromyographic feedback was developed in electrical stimulation.Considering that electromyographic amplitudes from different patients change significantly,a module of adaptive gain amplifier and filter was designed.By means of the feature extraction of electromyographic signals using the delta-sigma computational technique,a value of the spontaneous electromyography can be detected.The root mean square of electromyographic signals was used as feedback to control the output of the stimulator.The novel function of feature extraction and feedback control was successfully employed to promote the active participation of patients in the treatment.The experiment shows that the design requirements have been achieved.It＇s beneficial to intelligently control the rehabilitation treatment.
出处
《计算机测量与控制》
CSCD
北大核心
2010年第11期2666-2668,共3页
Computer Measurement &Control
基金
上海高校选拔培养优秀青年教师科研专项基金(slg08025)
国家高技术研究发展计划(863计划)项目(2007AA02Z2482)
关键词
电刺激
肌电反馈
自适应放大
特征提取
electrical stimulation
electromyographic feedback
adaptive amplification
feature extraction
