Analysis of noise and its removal in nerve conduction study signal

Abstract

Nerve Conduction Study (NCS) is a primary study for detection of motor and sensory nerve diseases. While acquiring the NCS data, various noises suppresses the signals like power line interference (PLI) and other high and low frequency noises. Although there are several research conducted for removal of noises from NCS data, this paper describes a novel technique of noise suppression in real time NCS data by using a battery operated system that include nerve stimulation, amplifier and the filter. Noise analysis both statistical and frequency analysis has been conducted and compared with conventional power supply systems acquired from AC mains.