COMPARATIVE STUDY OF EMG SIGNAL DENOISING TECHNIQUES

Abstract

Electromyogram signals provides a major solution in detecting the abnormalities such as cervical pain, fatigue etc. with the body muscles. Various diseases and abnormalities that are associated with the skeletal muscles can be treated based upon the EMG signal. Based upon correct and uncontaminated signal, correct prescription about the muscles can be made by an Medical Practitioner. Sometimes because of presence of some artifacts like Power Line Noise, Electrocardiogram noise, motion artifact, instrument noise, cross talk etc distorts the signal, thus sometimes a correct diagnosis may not be provided. To cater to these artifacts various methods have been proposed in recent past. Many methods have provided good efficiency in removal of these artifacts. Sometimes because of weak nature (sometimes low SNR) of EMG and presence of artifact sometimes makes it difficult to detect the presence of the EMG signal in the body. It is therefore a very essential task to remove the artifacts that are present in the EMG signal, so that a correct signal study can be made. Based upon some practical difficulties and major sources of noise such as Power Line Interference and Electrocardiogram artifact, a comparative study of some previously proposed methods has been done in this work.