HUMAN COMPUTER INTERACTION SYSTEM BY USING MONITORING OF ELECTROCARDIOGRAM (ECG)
Keywords:
Electrocardiogram (ECG), Surface Electromyography (EMG), Motor System, Matlab.Abstract
This paper discusses the Design & Analysis of Monitoring of Electrocardiogram (ECG) and Electromyography (EMG) Signal. The electrocardiogram (ECG) and electromyography (EMG) is an important physiological signal that helps determine the state of the heart rate measurement system & muscular system. Baseline wander is a commonly seen noise in ECG & EMG recordings and can be caused by respiration, changes in electrode impedance, and motion. It can mask important information from the ECG & EMG, and if it is not properly removed, crucial diagnostic information contained in the ECG & EMG will be lost or corrupted. Extraction. By using high pass filter baseline wander (drift) removal will be done which blocks the drift and passes all main components of ECG though the filter. However, it requires the cut-off frequency of the high-pass filter be set higher than the lowest frequency in the ECG. Therefore mentioned simple approach for baseline removal distorts and deforms the ECG & EMG signals.