Identification and Classification of Heart Beat by Analyzing ECG Signal using Naive Bayes

Abstract

The world population are looking for the healthy life throughout their life time. But, due to the changes in food habits and global warming in the environment creates some dangerous diseases in human beings. In that, most common one is heart diseases where everyone in the world scared about this and don't know when it will affect. In current scenario, electro cardiogram (ECG) is the easy and trustable method to identify the occurrence of heart diseases. One cardiac cycle in an ECG signal consist of the P-QRS-T waves. The occurrence of the peaks can also be represented as PR interval, QRS complex, QT interval, PR segment, ST segment. This paper comes with analysis of various features extracted from the received waves of ECG and Naive Bayes is used to classify the types of heart diseases.