A new approach for arrhythmia classification

The ECG signal is formed of the P wave, the QRS complex and the T wave. The P wave appears as a result of QRS complex ventricle contraction because of electrical stimulation initiation at the sinoatrial node and spreading in the cardiac muscles. The T wave appears as a result of ventricle relaxation. In this study the ECG signal is analyzed in the time domain. For this purpose, arrhythmia are determined by taking related mean time intervals of ECG as feature extraction. Arrhythmia are categorized by applying time elapsed between two R waves (RR intervals), appearing in ECG signals, as the input for artificial neural networks.