Elimination of Baseline Fluctuation in EMG Signal Using Digital Filter

Electromyography (EMG) is the study of the skeletal muscle function and the contraction of the skeletal muscle result in the generation of action potential in the individual muscle fibers, it from get information in the diagnosis of neuromuscular disorders. Suitable removal of baseline fluctuation of EMG signals is very important issue when recoding EMG signals as it may be degrade quality and quantitative analysis. In this paper focus on digital filter design technique for removal of noise present in the baseline of the EMG signal. The method is to estimate the spectral contents of the BLF, and then to use this estimation to design a high pass chebyshev filter by using Bilinear Transformation that cancel the BLF in the EMG signal. This technique on real and simulated EMG signal gives their advantages and disadvantages in term of both visual inspection and merit figures. We analyzed EMG signal from the muscles in a healthy subjects at low force level, using the concentric needle electrode.