Pan Tompkins Algorithm based ECG Signal Classification

A first diagnostic tool Electrocardiogram (ECG) is a therapeutic method used as for cardiovascular diseases. A cleaned ECG signal provides valuable information about the functional aspects of the heart and cardiovascular system. To identify the automatic detection of cardiac arrhythmias in ECG signal, a new method is proposed for the ECG signal classification based on Pan Tompkins algorithm. Using this algorithm the statistical features are extracted and by using the K Nearest Neighbor (KNN) based classifier, the performance of the proposed system can be evaluated. The method is mainly based on the arrhythmia disease classification.