NDLI: Development of the system to detect and process Electromyogram signals

Content Provider	IEEE Xplore Digital Library
Author	Chunling Liu Xu Wang
Copyright Year	2005
Description	Author affiliation: Inst. of Biomedicine Eng., Northeastern Univ. (Chunling Liu; Xu Wang)
Abstract	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
Starting Page	6627
Ending Page	6630
File Size	261799
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Electromyography Signal design Computer displays Adaptive signal processing Adaptive filters Time domain analysis Frequency Signal analysis Wavelet analysis RQA Electromyogram signals amplifier 50Hz notch filter wavelet transform
Content Type	Text
Resource Type	Article

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