Surface Electromyography Signal Analysis and Pattern Recognition Based on Hilbert-Huang Transform
The surface electromyography signal of stump was applied to recognize the intention of disable people, and control the intelligent above-knee prosthesis. Since the electromyography signal was non-stationary and non-linear signal, Hilbert-Huang transform was applied to extract the frequency feature. The time and frequency features of surface electromyography signal recorded from biceps femoris of the disable peoples stump, were applied to recognize the conversion of movement pattern. The result of this study indicates that this method has preferable recognize effect, and can be applied to analyze the non-linear relationship between different movement patterns and electromyography signal.
Surface electromyography signal Above-knee prosthesis Hilbert-Huang transform Pattern recognition
Lingling Chen Peng Yang Linan Zu Tengyu Zhang Lifeng Li
School of Electrical Engineering and Automation,Hebei University of Technology,Tianjin 300130 National Research Center for Rehabilitation Technical Aids,Beijing 100176,China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5190-5195
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）