Authors: Rajendra G. Sutar; A.G. Kothari
Addresses: Electronics Department, Sardar Patel Institute of Technology, Bhavan's Campus, Andheri (West), Mumbai 400058, India ' Electronics and Communication Engineering Department, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440010, India
Abstract: Analysis of an Electrocardiogram (ECG) signal for designing intelligent Clinical Decision Support System (CDSS) requires error-free and fast detection of ECG features. An algorithm dealing with Polarised Teager Energy (PTE) function has been proposed in this paper. According to the morphology of ECG, QRS complex contains highest non-linear energy. This property has been utilised for detection of R peak. Polarisation of Teager Energy (TE) yields remarkable decrease in false positive of R peaks and hence that of other morphological points. Results showed that the proposed algorithm comprises less computational overheads and still has a very good performance in QRS detection with 0.27% detection error rate, 99.85% sensitivity and 99.87% positive prediction rate. Detection error rate observed for the other morphological points ranges from 0.37 to 0.40. Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) database has been used for testing and validation of the algorithm.
Keywords: CDSS; polarised Teager energy; QRS detection; ECG morphological points; nonlinear energy; electrocardiograms; ECG signals; clinical DSS; decision support systems; intelligent DSS.
International Journal of Biomedical Engineering and Technology, 2016 Vol.22 No.1, pp.14 - 30
Received: 28 Jul 2015
Accepted: 08 Dec 2015
Published online: 05 Sep 2016 *