Complex fractional and complex Morlet wavelets for QRS complex detection

In a recent article we have introduced and used the complex fractional wavelet for QRS complex detection in ECG signal. This complex fractional wavelet is derived from the Cole-Cole distribution which is widely used in the modeling of dielectrics by a fractional power pole. This work presents an extension of QRS detection scheme using the complex Morlet wavelet function. It consists of using the real and the imaginary parts of the continuous wavelet transform (CWT) along with the multi-scale product to distinguish the R waves from the high P and T waves, the noise and the artifacts. The proposed algorithm has been done using the entire records of the MIT-BIH arrhythmia database. A comparison between the two wavelets is achieved in order to measure the accuracy and the usefulness of the proposed study.