摘要
文章对表面肌电信号的RMS特征和AR模型特征进行了分析,并利用采集到的原始表面肌电信号数据进行了RMS和AR参数的提取。利用提取的数据对上肢动作进行识别分析,结果表明双通道数据或多维数据联合分布能够有效的区分和识别相应的动作。
The characteristics of RMS and AR model of surface The RMS and AR parameters were extracted from the collected eletromyogram signal （sEMG） were analyzed. original sEMG signal, movements was recognized and analyzed. The results showed that joint distribution can effectively distinguish and identify the corresponding movement.
作者
任丹
REN Dan(School of Engineering and Technology, Eastern Liaoning University, Dandong 118003, China)
出处
《辽东学院学报（自然科学版）》
CAS
2017年第1期39-45,共7页
Journal of Eastern Liaoning University:Natural Science Edition
关键词
表面肌电信号
特征提取
动作识别
surface electromyogram signal （sEMG）
feature extraction
movement recognition
