Removal of Power Line Noise from EMG Signals Using Rls Algorithm

Abstract

Electromyography (EMG) is a test used to discern primary muscle conditions from muscle weakness caused by neurological disorders. The noise which do have frequency of contaminating the EMG signals. The objective of this research was to remove or reduce the main noises which disturb the EMG signal with help of filtering. The most common noises which are present in the EMG signal are the power line interference (PLI) and electrocardiography (ECG). RLS algorithm is used for removal of PLI artefacts from the main EMG signal and artificial neural network (ANN) which give the error signal (i.e. range difference between the actual and target values) and enhance the signal-to-noise ratio (SNR) of the output signal.