Shelevytsky, Ihor and Shelevytska, Victorya and Golovko, Vlad and Semenov, Bogdan (2018) Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns. IEEE Second International Conference on Data Stream Mining & Processing August 21-25, 2018, Lviv, Ukraine. pp. 430-433.
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Abstract
Phonocardiographs are analyzed for diagnostics of heart conditions in newborns. The algorithms of allocation of heart tones and selection of stationary periods on phonocardiograms are proposed. Dedicated heartbeats can be parameterized in different ways. The first set of parameters characterizes the shape and the time-amplitude features. The second set of parameters is the coefficients of the frequency-time decomposition of cardiac cycles with spline bases. This approach allows detecting of the Patent ductus arteriosus (PDA) by machine learning methods. Software for phonograms analysis has been developed.
| Item Type: | Article |
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| Additional Information: | I. Shelevytsky, V. Shelevytska, V. Golovko and B. Semenov, "Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns," 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, 2018, pp. 430-433, doi: 10.1109/DSMP.2018.8478495. |
| Uncontrolled Keywords: | Machine Learning; detection of the Patent ductus arteriosus; algorithms for segmentation of phonocardiograms; parametrization of phonocardiograms; classification of phonocardiograms |
| Subjects: | Neonatology Diagnostics |
| Divisions: | Faculty of Postgraduate Education > Department of Pediatrics, family medicine and clinical laboratory diagnostics FPE |
| Depositing User: | Елена Шрамко |
| Date Deposited: | 22 May 2020 11:34 |
| Last Modified: | 22 May 2020 11:34 |
| URI: | http://repo.dma.dp.ua/id/eprint/5398 |
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