… for transient state analysis of the multichannel EMG signal by … s parameters are suitable for
EMG analysis, and demonstrating … and signal-based wavelet optimization,” Biomedical Signal …

… The aim of this study was to compare the EMG responses during the course of the Wingate
anaerobic test, using two different methods of spectral analysis, STFT and Wavelet. From …

… ΔMAV) of surface EMG. This study also demonstrates the ability of wavelet index features in
PF identification. Using a naïve Bayes (NB) classifier exhibits the highest accuracy based on …

… Wavelet Transform (CWT). It is this transform that has been applied for the analysis of the wire
EMG … More specifically, the basis function chosen for this study is a Morlet wavelet. Figure …

… To our best knowledge, no scientific investigation dealing with stationary wavelet
transform-based de-noising in real-time of EMG signals for MPR has been published. Most of the …

Diskussion: Die schnelle Rotationsbewegung verlangt eine prazise Aktivierung der Muskulatur,
mit einem zeitlich genauen Wechsel zwischen linker und rechter Seite sowie anterior …

… spliced behind each EMG signal to form an EMG spectrum, and then the EMG spectrum is
… EMG images using stationary wavelet packet transform, which is referred to as the EMG + …

… EMG measurements have been used in bruxism diagnosis for years. However, through the
use of autoregression and wavelet transform energy spectra in bruxism diagnosis with EMG …

… energy spectra P ( w ) ≡ { { ε j d } j = 1 J , ε J s } of the respiratory signals EMG SC , EMG
IC , and EMG RA were used to analyze the correlation of the BH1 and BH2 maneuvers, as …

… The shift of dominant frequencies towards the lower frequency band is with respect to time
and hence in the present study wavelet transforms was used to analyze sEMG. Our finding is …