Hardware implementation and reduction of artifacts from ECG signal

Abstract

In today's modern world heart diseases is common not only for the elder people but also for the younger people. ECG is one of the important biomedical signal which is generally used to diagnosis the human heart. In this work hardware is designed and implemented to acquire a real time the electrocardiogram (ECG) signal and many medical practitioners used this technique for diagnosing but while recording this signal many noises knowingly or unknowingly are added to the ECG signal. Common noises which generally get added to the ECG are Baseline wandering, Power Line Interference, Instrumentation noise etc. These noises are present according to their frequency content. Different kinds of noisy signals are generated in MATLAB environment and add with the reference ECG signal which is taken from MIT-BIH arrhythmia database. For performing the filtering operation digital Finite impulse response filter is introduce to reduce the noise from the electrocardiogram signal and their performance has been analyzed on the basis of signal to noise ratio (SNR).