EMG Signal Processing in Frequency Domain

Abstract

The EMG signal analysis is a useful in assessment of muscle spasticity in spastic diplegia CP children. The aim of this study was to propose methods for EMG signal processing in frequency domain. Functional evaluation was carried out on 10 spastic diplegia patients aged between 7–12 years old. The EMG signal was processed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). The results show, that wavelet transform for biomechanical signals, asymmetrical wavelets with smooth edges are needed.