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.
Cite this article:
A. Mohamed Syed Ali. Pan Tompkins Algorithm based ECG Signal Classification. Research J. Pharm. and Tech 2017; 10(12): 4365-4367. doi: 10.5958/0974-360X.2017.00802.2