Development of the system to detect and process Electromyogram signals.
This paper is about the design of a system that can detect four channel electromyogram (EMG) signals. EMG signals can be acquired, transformed into electrical signals and input into computer through AD acquisition card. The computer then processes the data and the signal figures are displayed on the screen. In the signals processing system various methods integrated such as adaptive filtering, the methods in time domain, the methods for frequency analysis, and also some newly developed methods, e.g., wavelet transform. The nonlinear tools such as the recurrence quantification analysis (RQA) also has been introduced to analyze the surface EMG and has shown particularly promising for the detection of muscle statue changes. The basic construction of the system and the software analysis are introduced.
Liu
Chunling
C
Institude of Biomedicine Engineering, Northeastern University, China.
Wang
Xu
X