An algorithm for detection of ECG morphological points using its non-linear energy
by Rajendra G. Sutar; A.G. Kothari
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 22, No. 1, 2016

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.

Online publication date: Thu, 08-Sep-2016

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