An efficient new method for the detection of QRS in electrocardiogram

• Remove baseline drift apply two stage median filters, using window width fs/2 and fs.
• Peaks enhancement by sixth power of signal.
• CSE, MIT/BIH AD, European ST-T and QT database used to perform QRS detection.
• 1,006,168 Beats tested and achieved overall sensitivity 99.52% and positive predictivity 99.69%.
• Noise test perform against MIT–BIH Noise Stress Test Database and achieved performance higher and comparable.

A simple and efficient new method for QRS detection in Electrocardiogram (ECG) is proposed in this paper. Initially data is preprocessed using two stage median filter for removing baseline drift. The second stage enhances the peaks of ECG wave components by using sixth power of signal. The next stage identifies the QRS complex by taking a variable window size. The detection sensitivity (Se) and positive predictivity (+P) of CSE (Common Standards for Quantitative Electrocardiography) measurement database, MIT/BIH (Massachusetts Institute of Technology/Beth Israel Hospital) Arrhythmia database, European ST-T database and QT database are Se 99.51 & +P 99.69%, Se 99.21 & +P 99.34%, Se 99.53 & +P 99.72% and Se 99.87 & +P 99.95% respectively. These four standard databases used to perform QRS detection considered 368 cases, tested 1,006,168 beats and achieved overall average sensitivity 99.52% and positive predictivity 99.69%. The MIT/BIH Noise Stress Test Database also tested by proposed method.