SYSTEM ANALYSIS OF EMG SIGNAL FOR VARICOSE VEIN

Abstract

Earlier acquisition of biosignals was a difficult task. Whereas implementation in medical instruments used for
acquiring biosignals from visually obtained signal which are recorded and desired patterns are recognized and they are
compared with normal and specified application levels of diagnosis detecting varicose vein. These signals must be measured,
analyzed and correlated such that pattern recognition plays a vital role which decides the desired waveforms from extracted
from EMG signal. Peak signals at 128Hz and 256Hz are detected and extracted at various sensor points that are placed.
Biosignals can be generated from different physiological movements of human like Electrocardiogram (ECG), Electromyogram
(EMG), Electroretinography (ERG), Electroneurography (ENG), etc,. Acquired EMG signal by implementing in MATLAB for
ordinary muscle function varies with muscle strained for hours while standing.