ECG Signal Analysis and Classification using Data Mining and Artificial Neural Networks

The analysis of the ECG can benefit in diagnosing most of the heart diseases. The electrocardiogram (ECG) provides almost all information about electrical activity of the heart. One cardiac cycle in an ECG consist of the P-QRS-T waves or segments. The ECG signal analysis and classification system gives overall idea about the diseases. In recent years, many research and methods have been proposed and developed for analyzing the ECG signal and extracting features such as amplitude and time intervals for classification of signals. This paper focuses on some of the techniques proposed earlier for the arrhythmia classification and extraction of parameters from the ECG signal which is used for data acquisition and classification system. This paper also gives the brief idea about the proposed work using Artificial Neural Networks (ANN) and data mining techniques using intelligent data