QRS detection by lifting scheme constructing multi-resolution morphological decomposition.QRS complex detecting algorithm is core of ECG auto-diagnosis method and deeply influences cardiac cycle division for signal compression.  This paper proposes a QRS complex detecting algorithm based on multi-resolution mathematical morphological decomposition. 
QRS
QRS detection by lifting scheme constructing multi-resolution morphological decomposition.QRS complex detecting algorithm is core of ECG auto-diagnosis method and deeply influences cardiac cycle division for signal compression.  However, ECG signals collected by noninvasive surface electrodes areusually mixed with several kinds of interference, and its waveform variation is the main reason for the hard realization of ECG processing. 
ECG
The proposed algorithm provides a good performance applying to MIT-BIH Arrhythmia Database, and achieves over 99% detection rate, sensitivity and positive predictivity, respectively, and calculation burden is low. 
MIT-BIH Arrhythmia Database