Simulink based approach of Digital Filter for Electrocardiogram

摘要

In bio-medical industries, presently available ECG systems are expensive as well as noise prone. Real time processing of ECG without loosing any information is the challenging task. It is essential to reduce disturbances in ECG signal and improve the accuracy and reliability. This paper is aimed towards Simulink based design of digital filters which further can be extended to interface with the processor. Finally the MATLAB model is interfaced to the human body via data acquisition card to enable real time analysis of the ECG. In the present paper the structure & performance of the filters using MR filters were performed using FDA tool in MATLAB. The MATLAB model is interfaced to the human body via and data acquisition card to enable real time analysis of the ECG. The low pass, high pass and notch filters were designed using MR filter technique. These filters are used to remove noise in ECG signal. Comparison of performance for various low pass, high pass and notch filter are studied for final design model of Simulink which will give optimum solution to the noise problem in ECG. This Simulink based solution to reduce the cost as well as comparable noise immunity as compared to latest technologies used in ECG systems.