Automatic detection method of R-wave positions in electrocardiographic signals

In this study, we have presented a robust method of R-wave detection in electrocardiographic signals (ECG) using multiresolution wavelet transform. Daubechies wavelets (db4 and db6) were used for this detection. The presented method requires a pre-processing by using a Median filter which is an effective tool to remove the baseline of the signal and correct it. Then, the ECG signals under test have been decomposed to the required level using the selected wavelets. Finally, the algorithm has been tested and evaluated on MIT-BIH arrhythmia database. Signals from lead II have been only analyzed. In this validation, the QRS detection algorithm achieved the very good detection performance using db6 wavelet, because db6 wavelet gives the higher values of the overall sensitivity and predictivity than to db4 wavelet.