DocumentCode :
606050
Title :
EMG signals detection technique in voluntary muscle movement
Author :
Ali, Ahmed Abdalla ; Albarahany, A. ; Liu Quan
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
fYear :
2012
fDate :
23-25 Oct. 2012
Firstpage :
738
Lastpage :
742
Abstract :
The signals can be analyzed to detect medical abnormalities, activation level, and recruitment order or to analyze the biomechanics of human or animal movement. Electromyography signal carries valuable information regarding the nerve system. So the aim of this paper is to give brief information about EMG signal detection techniques in voluntary muscle movement of human being. In this paper, various methodologies are applied to analyze different techniques for EMG signal detection, decomposition, process and classification. Also this study clearly points up the various types of EMG signal analysis techniques so that the right methods can be applied during any clinical diagnosis, biomedical research, hardware implementations and end user applications.
Keywords :
electromyography; medical signal detection; signal classification; EMG signal analysis technique; EMG signal classification; EMG signal decomposition; EMG signal detection technique; EMG signal processing; activation level; animal movement; biomechanics; biomedical research; clinical diagnosis; electromyography signal; end user applications; hardware implementations; human movement; medical abnormality detection; nerve system; recruitment order; voluntary muscle movement; Detection Technique; Electromyography (EMG); Voluntary Muscle Movement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2
Type :
conf
Filename :
6528730
Link To Document :
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