Development of Electromyography Signal Signature for Forearm Muscle

I. Elamvazuthi, Zulika Zulkifli, Zulfiqar Ali, M. K.A.Ahamed Khan, S. Parasuraman, M. Balaji, M. Chandrasekaran

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Electromyography (EMG) measures muscle response or electrical activity in response to a nerve's stimulation of the muscle. EMG is generally acquired through surface and needle or wire electrodes. The needle or wire electrodes are usually used by clinicians in a clinical setting. This paper concentrates on surface electromyography (sEMG) signal that is acquired in a research laboratory since sEMG is increasingly being recognized as the gold standard for the analysis of muscle activation. The sEMG can utilized for establishing signal signature for forearm muscles that becomes an important input in development of rehabilitative devices. This paper discusses the establishment of sEMG signal signature of female and male subjects for forearm muscles such as extensor carpi radialis, flexor carpi radialis, palmaris longus and pronator teres based on movements such as wrist extension and flexion, hand open and close, and forearm supination and pronation. This was achieved through the use of Butterworth Bessel, Elliptic and Chebyshev filters. The sEMG signal signature could be useful in the development of rehabilitation device of upper extremities.

LanguageEnglish
Pages229-234
Number of pages6
JournalProcedia Computer Science
Volume76
DOIs
Publication statusPublished - 1 Jan 2015

Fingerprint

Electromyography
Muscle
Needles
Elliptic filters
Chebyshev filters
Wire
Electrodes
Research laboratories
Patient rehabilitation
Chemical activation

Keywords

  • Electromyography
  • filtering
  • forearm muscle
  • rehabilitation
  • signal signature

Cite this

Elamvazuthi, I., Zulkifli, Z., Ali, Z., Khan, M. K. A. A., Parasuraman, S., Balaji, M., & Chandrasekaran, M. (2015). Development of Electromyography Signal Signature for Forearm Muscle. Procedia Computer Science, 76, 229-234. https://doi.org/10.1016/j.procs.2015.12.347
Elamvazuthi, I. ; Zulkifli, Zulika ; Ali, Zulfiqar ; Khan, M. K.A.Ahamed ; Parasuraman, S. ; Balaji, M. ; Chandrasekaran, M. / Development of Electromyography Signal Signature for Forearm Muscle. In: Procedia Computer Science. 2015 ; Vol. 76. pp. 229-234.
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Elamvazuthi, I, Zulkifli, Z, Ali, Z, Khan, MKAA, Parasuraman, S, Balaji, M & Chandrasekaran, M 2015, 'Development of Electromyography Signal Signature for Forearm Muscle', Procedia Computer Science, vol. 76, pp. 229-234. https://doi.org/10.1016/j.procs.2015.12.347

Development of Electromyography Signal Signature for Forearm Muscle. / Elamvazuthi, I.; Zulkifli, Zulika; Ali, Zulfiqar; Khan, M. K.A.Ahamed; Parasuraman, S.; Balaji, M.; Chandrasekaran, M.

In: Procedia Computer Science, Vol. 76, 01.01.2015, p. 229-234.

Research output: Contribution to journalArticle

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Elamvazuthi I, Zulkifli Z, Ali Z, Khan MKAA, Parasuraman S, Balaji M et al. Development of Electromyography Signal Signature for Forearm Muscle. Procedia Computer Science. 2015 Jan 1;76:229-234. https://doi.org/10.1016/j.procs.2015.12.347