Biomedical signal is a collective electrical signal acquired from any organ/system that represents a physical variable of interest. This signal is normally a function of time and is describable in terms of its amplitude, frequency and phase. The Electromyogram (EMG) signal is a biomedical signal that measures electrical potentials generated in skeletal muscles during its contraction representing neuromuscular activities. The nervous system always controls the contraction/relaxation. The EMG signal is a complex signal, which is controlled by the nervous system and dependent on the anatomical and physiological properties of muscles. The knowledge of muscle, EMG processing and EMG classification is essential for analysing and understanding the functions of muscle, especially paralysed muscle. Hence this review paper summarizes the information about physiology of normal and paralysed muscle. Work done in EMG processing, EMG analysis and classification methods used for different biomedical applications are mainly discussed in this review paper.
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