Abstract
ECG signal plays an important role in the diagnosis and analysis of heart diseases and allows the assessment of cardiac muscle functionality. The main and most obvious part of electrocardiography tracing is its QRS complex which corresponds to the ventricular depolarization. The morphology of QRS complex and its repetition are important issues in the analysis of heart diseases so its detection is important for such analysis. In this paper an algorithm based on the multiplication of wavelet coefficients is presented to find out the R peak in ECG for QRS complex detection. The proposed method is based on the band-limited properties of QRS waveform. The ability of proposed method has been evaluated through the comparison with traditional Pan-Tompkins algorithm by standard datasets. The results show that the proposed method besides having lower complexity is comparable with Pan-Tompkins method.
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