Wavelet based noise removal from EMG signals

M. S. Hussain, Md. Mamun Ibne Reaz, M. I. Ibrahimy, A. F. Ismail, F. Mohd-Yasin

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Wavelet transform has been applied in this research for removing noise from the surface electromyography signal (SEMG). The effectiveness of the noise removal is quantitatively measured using Root Mean Square (RMS) Error. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as means of removing noise to retrieve information related to muscle contraction and nerve system. Power spectrum analysis has been applied to SEMG signals where mean power frequency was calculated to indicate changes in muscle contraction. Wavelet based noise removal and power spectrum analysis on the EMG signal from the right "biceps brachii" muscle was performed using four wavelet functions. With the appropriate choice of the wavelet function (WF), it is possible to remove noise effectively to analyze SEMG significantly. Results show that WFs Daubechies (db2) provide the best noise removal from the raw SEMG signals among other WFs Daubechies (db6, db8) and orthogonal Meyer. The algorithm is intended for FPGA implementation of portable bio medical equipments to detect neuromuscular disease and muscle fatigue.

Original languageEnglish
Pages (from-to)94-97
Number of pages4
JournalInformacije MIDEM
Volume37
Issue number2
Publication statusPublished - Jun 2007
Externally publishedYes

Fingerprint

Electromyography
Muscle
Power spectrum
Spectrum analysis
Wavelet transforms
Biomedical equipment
Mean square error
Field programmable gate arrays (FPGA)
Fatigue of materials

Keywords

  • Denoising
  • Mean power frequency
  • SEMG
  • Wavelet transform

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Materials Science(all)

Cite this

Hussain, M. S., Ibne Reaz, M. M., Ibrahimy, M. I., Ismail, A. F., & Mohd-Yasin, F. (2007). Wavelet based noise removal from EMG signals. Informacije MIDEM, 37(2), 94-97.

Wavelet based noise removal from EMG signals. / Hussain, M. S.; Ibne Reaz, Md. Mamun; Ibrahimy, M. I.; Ismail, A. F.; Mohd-Yasin, F.

In: Informacije MIDEM, Vol. 37, No. 2, 06.2007, p. 94-97.

Research output: Contribution to journalArticle

Hussain, MS, Ibne Reaz, MM, Ibrahimy, MI, Ismail, AF & Mohd-Yasin, F 2007, 'Wavelet based noise removal from EMG signals', Informacije MIDEM, vol. 37, no. 2, pp. 94-97.
Hussain MS, Ibne Reaz MM, Ibrahimy MI, Ismail AF, Mohd-Yasin F. Wavelet based noise removal from EMG signals. Informacije MIDEM. 2007 Jun;37(2):94-97.
Hussain, M. S. ; Ibne Reaz, Md. Mamun ; Ibrahimy, M. I. ; Ismail, A. F. ; Mohd-Yasin, F. / Wavelet based noise removal from EMG signals. In: Informacije MIDEM. 2007 ; Vol. 37, No. 2. pp. 94-97.
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