Frequency Analysis Of EMG Signals With Matlab Sptool

In the area of biomedical digital signal processing (DSP), wavelet analysis, neural networks and pattern recognition methods are being developed for analysis of EMG signals (generated by the muscles) in neuromuscular disease and CTG (the cardiotocogram) signals during labor. These are traditionally very difficult signals to quantify and innovative approaches to analysis are required for clinical quantification. Software and hardware DSP systems are being designed for real time clinical applications. In this paper, the aim is identification of EMG signals by computing the median and average frequencies and investigating frequency domain behavior of EMG signals. To determine these parameters, fast Fourier transform and digital filters have been very important factors at getting the result. Key-Words: EMG, MATLAB, SP Tool, FFT