摘要
表面肌电信号（SEMG）的检测分析对临床诊断、康夏医学、运动医学等具有重要意义．但由于表面肌电信号比较微弱，信号提取比较困难，本文利用虚拟仪器技术构建肌电信号检测平台并用LabVIEW进行信号处理，采集到了清晰的肌电信号，得出了其绝大部分谱集中在10-300Hz内．采用功率谱K值法进行动作识别，得到单自由度动作的识别成功率达90％以上．该系统经过扩展可以适应各种生理数据的采集和处理，是未来生理仪器开发的方向．
It is important to acquire SEMG signal in clinic diagnose field. But SEMG signal is so faint that it is difficult to pick up. An acquisition and recognition system based on virtual instrument is introduced in this paper,it can acquire vivid SEMG signal and draw a conclusion that its spectrum located in 10-300 Hz mostly. Then,it can recognize action pattern by the method of power spectrum value K,the success ratio can reach 90%. Adapted to various physiological signals with the expanded functions, the system can be considered as the for developing the direction future physiological instrument.
出处
《西安工业学院学报》
2006年第1期52-55,共4页
Journal of Xi'an Institute of Technology
关键词
虚拟仪器
信号调理
数据采集
功率谱K值法
动作识别
virtual instrument
signal conditioning
data acquisition
power spectrum methodaction pattern recognition
