Multiscale Peak Detection in Emg Signal Analysis

Electromyography (EMG) represents a method used for the acquisition of electrical activity produced by skeletal muscles. The following analysis based upon the digital signal processing methods can be used to find relation between their neurological activation and separate motor units firing with the typical frequency of 7-20 Hz. Signals obtained can be used for analysis of biomechanics of the human and for the detection of medical abnormalities including those of muscles (myopathy) and neurons (neuropathy). The paper presents the use of wavelet transform for data analysis for the selected decomposition level and the threshold value. Results include (i) the description of the proposed graphical user interface and (ii) comparison of results for healthy and neuropathic patients.