Analysis of ECG Signal and Classification of Arrhythmia

Arrhythmia means irregular electrical activity of heart. For diagnosing cardiac diseases interpretation of ECG signal is very important.A systematic method of analyzing and interpretation of heart diseases have described in this paper. In the proposed method features and duration of ECG signals were extracted such as QRS complex, R-R intervals from the noisy signals using Pan Tompkins Algorithm. The data used for analysis were collected from MIT-BIH arrhythmia database. Extracted features were estimated with the standard set of values based on the developed decision making algorithm to find the degree and types of arrhythmia. Finally according to extracted features arrhythmia classified into Bradycardia and Tachycardia. Paper concluded with evaluating the algorithm by obtaining the detailed results. Proposed algorithm is simple to adopt with less computation time and high accuracy.