A Wavelet-Based ECG Delineation in Multilead ECG Signals: Evaluation on the CSE Database

Abstract

In this paper, we present simple and fast approach for electrocardiogram (ECG) delineation based on a continuous wavelet transform (CWT). First of all, QRS complexes are detected. Then, QRS onset and end are found for each QRS complex. In the next step, the T wave is detected between the QRS end and the next QRS onset. The T wave end is found between the position of T wave and the next QRS onset. Finally, the P wave is detected between the T wave end and the next QRS onset. In the last step, the P wave onset and end are found. These significant points are found separately in each lead of the ECG signal. Global multilead positions were determined from singlelead positions by using special selection rule. The presented algorithm was evaluated on the standard CSE database, which contains reference global positions common for all leads. We obtained two sets of results, first for evaluation on 12 standard leads and second for evaluation on Frank leads. Calculated standard deviations for 12 standard leads were much smaller than given accepted tolerances for most of the characteristic points and standard deviations for Frank leads accomplished given tolerances for most of the characteristic points. The proposed algorithm did well in comparison with other algorithms, especially standard deviations for the T wave end are very interesting: s = 12.2 ms (12 standard leads), s = 19.7 ms (Frank leads).