Techniques of EMG signal analysis: detection, processing, classification and applications


Reaz, M. B. I. and Hussain, M. S. and Mohd-Yasin, F. (2006) Techniques of EMG signal analysis: detection, processing, classification and applications. Biological Procedures Online, 8 (1). pp. 11-35. ISSN 1480-9222

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Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. The purpose of this paper is to illustrate the various methodologies and algorithms for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. We further point up some of the hardware implementations using EMG focusing on applications related to prosthetic hand control, grasp recognition, and human computer interaction. A comparison study is also given to show performance of various EMG signal analysis methods. This paper provides researchers a good understanding of EMG signal and its analysis procedures. This knowledge will help them develop more powerful, flexible, and efficient applications.

Item Type: Article
Subjects: Q Science > QD Chemistry
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Sep 2011 02:46
Last Modified: 23 Sep 2011 02:46


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