ECG Heart Beat Detection Using Modified Slope Sum Function and Teager-Kaiser Energy Method

Heart beat detection in Electrocardiograph (ECG) helps medical practitioners in diagnosis of cardiac diseases and heart abnormalities. Therefore, accurate beat detection is essential in ECG signal analysis. In this paper, modified Slope Sum Function and Teager - Kaiser Energy (SSF-TKE) method has been proposed for beat detection in ECG and its performance on different standard databases is compared with that of other QRS detectors. Modified SSF-TKE method has achieved overall score of 92.53%, 99.79%,93.76% and 90.05% in ECG heart beat detection on PhysioNet Challenge 2014 public training dataset, MIT-BIH polysomnographic database, MIT-BIll noise stress test database and MGH/MF waveform database respectively. The beat detection algorithm performance is also extremely good in noisy ECG and it is better than that of other well known QRS detectors.