Comparative Study of Various Techniques for Elimination of Noise in Emg Signal

Electromyography (EMG) is the study of electrical activity of muscle and it form valuable information in the diagnosis of neuromuscular disorders. EMG signal may be degraded by a noise; it is in the baseline of EMG signal. It is called baseline fluctuation of EMG signal. Baseline fluctuation distorts qualitative and quantitative analysis. The present work focus on various techniques and their comparative study for elimination of this kind of noise present in EMG signal. These techniques on real and simulated EMG signal gives their advantages and disadvantages in term of both visual inspection and merit figures. In present work, we use three methods to remove the noise present in the baseline of EMG signal named as Digital filter designing, statistical approach, moving average method. Segmentation of EMG signal is used in all these approaches and MATLAB is used as a software tool. We analyzed recording of EMG signal from the muscles in a healthy subjects at low force level, using concentric needle electrode.