AbstrAct In the field of pattern recognition, probabilistic neural networks (PNNs) have been proven as an important classifier. For pattern recognition of EMG signals, the characteristics usually used are: (1) amplitude , (2) frequency, and (3) space. However, significant temporal characteristic exists in the transient and non-stationary EMG signals, which cannot be considered by traditional PN...

Wavelet-based signal processing has become commonplace in the signal processing community over the past decade.Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. ...

This paper presents a new algorithm to translate electromyogram (EMG) signals, produced during facial muscle contractions, into computer cursor actions. These cursor actions are: left, right, up, down and left-click. The translation is performed in real-time and the classification of the EMG signals is based on features derived from the spectral analysis of the electromyograms. We have sought t...

Bu çalışmada EMG sinyallerinin frekans analizi yapılarak elde edilen veriler ile hareket sınıflandırması yapmak amaçlanmıştır. Üç kanaldan toplanan sinyalleri uygun pencerelere ayrılarak her bir pencereye” hilbert “ zarflama yöntemi uygulanmış ve FFT katsayıları hesaplanmıştır. Kaydedilen spektrumları incelenmiştir. sınıflandırma algoritmasında kullanmak amacıyla pencerenin ağırlıklı bileşeni E...

BACKGROUND New technologies for data transmission and multi-electrode arrays increased the demand for compressing high-density electromyography (HD EMG) signals. This article aims the compression of HD EMG signals recorded by two-dimensional electrode matrices at different muscle-contraction forces. It also shows methodological aspects of compressing HD EMG signals for non-pinnate (upper trapez...

TO THE EDITOR: There is much interest in the synchronization of neural discharge and its potential role in information coding within the nervous system. To assess oscillatory input to the muscle by means of corticospinal (EEG–EMG) coherence and intermuscular (EMG–EMG) coherence, it is common practice to rectify electromyographic (EMG) signals, although the rationale for rectification remains in...

Electromyography (EMG) is the study of the skeletal muscle function and the contraction of the skeletal muscle result in the generation of action potential in the individual muscle fibers, it from get information in the diagnosis of neuromuscular disorders. Suitable removal of baseline fluctuation of EMG signals is very important issue when recoding EMG signals as it may be degrade quality and ...