Rao MV, A and Gupta, P and Ghosh, PK (2019) P- and T-wave delineation in ECG signals using parametric mixture Gaussian and dynamic programming. In: Biomedical Signal Processing and Control, 51 . pp. 328-337.
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Abstract
Detection and tracking of the P- and T-waves are important issues in the analysis and interpretation of the ECG signals. This paper addresses the problem by using two mixture Gaussian function and the Dynamic programming. A key feature of the proposed algorithm is that it allows to incorporate the prior knowledge about the P/T wave location variations and robustness to errors in QRS detection. The proposed algorithm is evaluated on the annotated QT-database and compared against the algorithms based on differential evolution optimization strategy (DEOS) and generating blocks of interest (GBI). The experiments show that the proposed method determines the P- and T-peak locations with a root mean square error of 0.085 s and 0.091 s respectively. Both these values are better than the corresponding values from DEOS and GBI. Similarly, the proposed algorithm achieves a sensitivity of 96.13 and predictivity of 97.70. While the predictivity is higher than both DEOS and GBI, the sensitivity is on par with GBOI and higher than that of DEOS.
| Item Type: | Journal Article |
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| Publication: | Biomedical Signal Processing and Control |
| Publisher: | Elsevier Ltd |
| Additional Information: | copyright for this article belongs to Elsevier Ltd |
| Keywords: | Electrocardiography; Evolutionary algorithms; Mean square error; Mixtures, Detection and tracking; Differential evolution optimizations; Gaussian functions; Location variation; Predictivity; Prior knowledge; QRS detection; Root mean square errors, Dynamic programming, article; controlled study; diagnostic test accuracy study; error; P wave; T wave |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 09 Apr 2019 05:28 |
| Last Modified: | 09 Apr 2019 05:28 |
| URI: | http://eprints.iisc.ac.in/id/eprint/62060 |
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