Spectro-temporal analysis of electromyogram signals

Abstract

Electromyography (EMG) signals can be used for clinical/biomedical applications, that measures electrical currents generated in muscles during its contraction representing neuromuscular. Individual muscle fibre action potentials are sometimes acquired using wire or needle electrodes placed directly in the muscle (invasive) or by a surface electrode (non-invasive). The combination of the muscle fibre action potentials from all the muscle fibres of a single motor unit is the motor unit action potential (MUAP). The simple detection with electrodes is insufficient to diagnose some neuromuscular diseases. The efficiency of diagnosis can be improved considerably by using modern signal processing techniques. The aim of this study is to analyse EMGs signals using temporal and frequency analysis. This analysis can provide a wide range of information's related to the type of signal (normal and pathological).