An wavelet transform-based discrimination algorithm for electrocardiogram

Serious arrhythmic events in most of patients suffering from sudden cardiac arrest are Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT). For these serious arrhythmic events, the timely employment of an electrical defibrillator may lead to successful results. From this viewpoint, widespread deployment of Automated External Defibrillators (AEDs) has been suggested and the most important component in AEDs is accurate and quick detection of these events by means of an appropriate algorithm. However quick and accurate detection of ventricular arrhythmia is not easy. In this paper, we analyze ECG data by using Gabor Wavelet Transform (GWT) and on the basis of the analysis results, we propose a new detection algorithm. Finally, we evaluate the proposed detection algorithm.