Surface electromyography signal processing and classification techniques.
Surface electromyography signal processing and classification techniques.
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DOI:
10.3390/s130912431
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发表时间:
2013-09-17
期刊:
影响因子:
--
通讯作者:
Chang TG
中科院分区:
文献类型:
--
作者:
Chowdhury RH;Reaz MB;Ali MA;Bakar AA;Chellappan K;Chang TG
Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. Detection, processing and classification analysis in electromyography (EMG) is very desirable because it allows a more standardized and precise evaluation of the neurophysiological, rehabitational and assistive technological findings. This paper reviews two prominent areas; first: the pre-processing method for eliminating possible artifacts via appropriate preparation at the time of recording EMG signals, and second: a brief explanation of the different methods for processing and classifying EMG signals. This study then compares the numerous methods of analyzing EMG signals, in terms of their performance. The crux of this paper is to review the most recent developments and research studies related to the issues mentioned above.
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DOI:
10.3390/s101211100
发表时间:
2010
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
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通讯作者:
Fernández P
影响因子:
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Van Kanijn, F. R.
影响因子:
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通讯作者:
Parker, PA