On an algorithm for detection of QRS complexes in noisy electrocardiogram signal

Electrocardiogram (ECG) signal provides the valuable information for detection of abnormal heart disease. Detection of QRS complexes is the first step towards recognition of heart disease from the ECG signal. ECG would be much more useful as a diagnostic tool if unwanted noise embedded in the signal is removed. The aims of the work are to (i) ECG signal enhancement using empirical mode decomposition (EMD) based method. (ii) Detection of QRS complexes using continuous wavelet transform method from the enhanced signal. The experiments are carried out on MIT-BIH database. The results show that our proposed method is very effective and an efficient method for fast computation of R peak detection.