https://oldena.lpnu.ua/handle/ntb/52539| Title: | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns |
| Authors: | Shelevytsky, Ihor Shelevytska, Victorya Golovko, Vlad Semenov, Bogdan |
| Affiliation: | Kryvyi Rih Institute of Economics Dnipropetrovsk Medical Academy of Health National Aviation University |
| Bibliographic description (Ukraine): | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns / Ihor Shelevytsky, Victorya Shelevytska, Vlad Golovko, Bogdan Semenov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 430–433. — (Hybrid Systems of Computational Intelligence). |
| Bibliographic description (International): | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns / Ihor Shelevytsky, Victorya Shelevytska, Vlad Golovko, Bogdan Semenov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 430–433. — (Hybrid Systems of Computational Intelligence). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | Machine Learning detection of the Patent ductus arteriosus algorithms for segmentation of phonocardiograms parametrization of phonocardiograms classification of phonocardiograms |
| Number of pages: | 4 |
| Page range: | 430-433 |
| Start page: | 430 |
| End page: | 433 |
| 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 frequencytime 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/52539 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| URL for reference material: | http://dx.doi.org/10.1111/chd.12328 http://dx.doi.org/10.1016/j.jpeds.2015.08.023 http://dx.doi.org/10.1049/htl.2015.0010 http://dx.doi.org/10.1016/j.bspc.2016.10.004 |
| References (Ukraine): | [1] L. S. W. Lai, A. N. Redington, A. J. Reinisch, M. J. Unterberger, and A. J. Schriefl, "Computerized automatic diagnosis of innocent and pathologic murmurs in pediatrics: A pilot study," Congenital Heart Disease, vol. 11, no. 5, pp. 386-395, Sep. 2016. [Online]. Available: http://dx.doi.org/10.1111/chd.12328 [2] J. Reese and M. M. Laughon, "The patent ductus arteriosus problem: Infants who still need treatment," The Journal of Pediatrics, vol. 167, no. 5, pp. 954-956, Nov. 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jpeds.2015.08.023 [3] V. Nivitha Varghees and K. I. Ramachandran, "Multistage decisionbased heart sound delineation method for automated analysis of heart sounds and murmurs," Healthcare Technology Letters, vol. 2, no. 6, pp. 156-163, Dec. 2015. [Online]. Available: http://dx.doi.org/10.1049/htl.2015.0010 [4] W. Zhang, J. Han, and S. Deng, "Heart sound classification based on scaled spectrogram and partial least squares regression," Biomedical Signal Processing and Control, vol. 32, pp. 20-28, Feb. 2017. [Online]. Available: http://dx.doi.org/10.1016/j.bspc.2016.10.004 |
| References (International): | [1] L. S. W. Lai, A. N. Redington, A. J. Reinisch, M. J. Unterberger, and A. J. Schriefl, "Computerized automatic diagnosis of innocent and pathologic murmurs in pediatrics: A pilot study," Congenital Heart Disease, vol. 11, no. 5, pp. 386-395, Sep. 2016. [Online]. Available: http://dx.doi.org/10.1111/chd.12328 [2] J. Reese and M. M. Laughon, "The patent ductus arteriosus problem: Infants who still need treatment," The Journal of Pediatrics, vol. 167, no. 5, pp. 954-956, Nov. 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jpeds.2015.08.023 [3] V. Nivitha Varghees and K. I. Ramachandran, "Multistage decisionbased heart sound delineation method for automated analysis of heart sounds and murmurs," Healthcare Technology Letters, vol. 2, no. 6, pp. 156-163, Dec. 2015. [Online]. Available: http://dx.doi.org/10.1049/htl.2015.0010 [4] W. Zhang, J. Han, and S. Deng, "Heart sound classification based on scaled spectrogram and partial least squares regression," Biomedical Signal Processing and Control, vol. 32, pp. 20-28, Feb. 2017. [Online]. Available: http://dx.doi.org/10.1016/j.bspc.2016.10.004 |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Shelevytsky_I-Segmentation_and_Parametrization_430-433.pdf | 387.63 kB | Adobe PDF | View/Open | |
| 2018_Shelevytsky_I-Segmentation_and_Parametrization_430-433__COVER.png | 564.57 kB | image/png | View/Open |
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