Comparison of Wavelet and Short Time Fourier Transform Methods in the Analysis of EMG Signals


Canal M. R.

JOURNAL OF MEDICAL SYSTEMS, vol.34, no.1, pp.91-94, 2010 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 1
  • Publication Date: 2010
  • Doi Number: 10.1007/s10916-008-9219-8
  • Journal Name: JOURNAL OF MEDICAL SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.91-94
  • Keywords: Wavelet, STFT, EMG
  • Gazi University Affiliated: No

Abstract

The electromyographic (EMG) signal observed at the surface of the skin is the sum of thousands of small potentials generated in the muscle fiber. There are many approaches to analyzing EMG signals with spectral techniques. In this study, the short time Fourier Transform (STFT) and wavelet transform (WT) were applied to EMG signals and coefficients were obtained. In these studies, MATLAB 7.01 program was used. According to obtained results, it was determined that WT is more useful than STFT in the fields of eliminating of resolution problem and providing of changeable resolution during analyze.