title: Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals.
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.
authors.affiliation: Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey. mrcanal@gazi.edu.tr
authors.forename: Mehmet Rahmi
authors.initials: MR
authors.lastname: Canal
mesh_terms: D004576:Electromyography / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D009132:Muscles / Q000502:physiology*; D025341:Principal Component Analysis / Q000379:methods; D012815:Signal Processing, Computer-Assisted