DocumentCode :
1402154
Title :
Interpretations of Wrist/Grip Operations From SEMG Signals at Different Locations on Arm
Author :
Ryait, H.S. ; Arora, A.S. ; Agarwal, R.
Author_Institution :
Electron. & Commun. Dept., Baba Banda Singh Bahadur Eng. Coll., Fatehgarh Sahib, India
Volume :
4
Issue :
2
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
101
Lastpage :
111
Abstract :
Surface electromyogram (SEMG) is a common method of measurement of muscle activity. It is noninvasive and is measured with minimal risk to the subject. The analysis of SEMG signal depends on a number of factors, such as amplitude as well as time- and frequency-domain properties. In the present investigation, the study of SEMG signals at different below elbow muscles for four operations of the hand wrist/grip-like opening (op)/closing (cl)/down (d)/up (u) was carried out. Myoelectric signals were extracted by using a single-channel SEMG amplifier consisting of a differential amplifier, noninverting amplifier, and interface module. Matlab softscope was used to acquire the SEMG signal from the hardware. After acquiring the data from six selected locations, interpretations were made for the estimation of parameters of the SEMG using the Matlab-filter algorithm and the fast Fourier transform technique. An interpretation of wrist/grip operations using principal component analysis (PCA) was carried out. PCA was used to identify the best SEMG signal capturing system out of two-channel, three-channel, and four-channel systems. Two acupressure points (on wrist) were also selected for the analysis with other points on the arm. SEMG signal´s study at different locations, including pressure points, will be a very helpful tool for the researchers in understanding the behavior of SEMG for the development of the prosthetic hand.
Keywords :
differential amplifiers; electromyography; fast Fourier transforms; mathematics computing; medical signal processing; principal component analysis; prosthetics; Matlab; PCA; SEMG signals; arm; differential amplifier; elbow muscle; fast Fourier transform; four-channel system; hand wrist/grip-like closing; hand wrist/grip-like opening; interface module; noninverting amplifier; principal component analysis; prosthetic hand; surface electromyogram; three-channel system; two-channel system; Data mining; Differential amplifiers; Elbow; Frequency domain analysis; Hardware; Muscles; Parameter estimation; Principal component analysis; Signal analysis; Wrist; SEMG interpretation; Surface electromyogram (SEMG); wrist/grip operations;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2009.2037604
Filename :
5405061
Link To Document :
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