Classification of EMG signals using wavelet neural network

  title={Classification of EMG signals using wavelet neural network},
  author={Abdulhamit Subasi and Mustafa Yilmaz and Hasan Riza Ozcalik},
  journal={Journal of Neuroscience Methods},
An accurate and computationally efficient means of classifying electromyographic (EMG) signal patterns has been the subject of considerable research effort in recent years. Quantitative analysis of EMG signals provides an important source of information for the diagnosis of neuromuscular disorders. Following the recent development of computer-aided EMG equipment, different methodologies in the time domain and frequency domain have been followed for quantitative analysis. In this study… CONTINUE READING
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