Features Extraction of Electromyography Signals in Time Domain on Biceps Brachii Muscle

Wan Daud, Wan Mohd Bukhari and Chong, Shin Horng and Sulaima, Mohamad Fani and Sudirman , Rubita (2013) Features Extraction of Electromyography Signals in Time Domain on Biceps Brachii Muscle. 2013 International Conference on Computer and Software Modelling. pp. 515-519. ISSN 2010-3697

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Abstract

Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Since EMG signals contain a wealth of information about muscle functions, there are many approaches in analyzing the EMG signals. It is important to know the features that can be extracting from the EMG signal. The ideal feature is important for the achievement in EMG analysis. Hence, the objective of this paper is to evaluate the features extraction of time domain from the EMG signal. The experiment was setup according to surface electromyography for noninvasive assessment of muscle (SENIAM). The recorded data was analyzed in time domain to get the features. Based on the analysis, three features have been considered based on statistical features. The features was then been evaluate by getting the percentage error of each feature. The less percentage error determines the ideal feature. The results shows that the extracted features of the EMG signals in time domain can be implement in signal classification. These findings could be integrated to design a signal classification based on the features extraction.

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	Mr. Wan Mohd Bukhari Wan Daud
Date Deposited:	30 Jan 2014 07:26
Last Modified:	06 Jul 2021 19:48
URI:	http://eprints.utem.edu.my/id/eprint/10887
Statistic Details:	View Download Statistic

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