Variational Method of Separation of the Aortic and Pulmonary Components of the Second Heart Sound
| العنوان: | Variational Method of Separation of the Aortic and Pulmonary Components of the Second Heart Sound |
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| المؤلفون: | A. I. Korolkov, Valery G. Andreev, V. V. Gramovich, Oleg Rudenko, Tamila Martynyuk, A. M. Aleevskaya |
| المصدر: | Doklady Physics. 65:295-299 |
| بيانات النشر: | Pleiades Publishing Ltd, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Sound (medical instrument), Basis (linear algebra), Separation (statistics), Computational Mechanics, General Physics and Astronomy, 02 engineering and technology, medicine.disease, 01 natural sciences, Pulmonary hypertension, Signal, 010305 fluids & plasmas, 020303 mechanical engineering & transports, Variational method, 0203 mechanical engineering, Mechanics of Materials, Control theory, medicine.artery, 0103 physical sciences, Pulmonary artery, Range (statistics), medicine, Mathematics |
| الوصف: | A variational method for separating the signal of the second heart sound into aortic and pulmonary components is proposed based on minimizing the functional using model signals dependent on a number of parameters. The range of variation of these parameters was determined, and the algorithm was tested on model signals and on signals obtained in patients with pulmonary hypertension. An analysis of errors of the method depending on the noise level and the delay time between the components was performed. We demonstrated the efficiency of the algorithm for separating the signals measured in patients and for determining the delay time between the components. The correlation between the delay time and the pulmonary artery pressure was shown, which can serve as the basis for a new method of diagnosis of pulmonary hypertension. |
| تدمد: | 1562-6903 1028-3358 |
| DOI: | 10.1134/s1028335820080042 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::084aa3a5d78697eed5f810c63ca04daa https://doi.org/10.1134/s1028335820080042 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........084aa3a5d78697eed5f810c63ca04daa |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15626903 10283358 |
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| DOI: | 10.1134/s1028335820080042 |