Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elartu.tntu.edu.ua/handle/lib/44247
Повний запис метаданих
Поле DCЗначенняМова
dc.contributor.authorKhvostivskyi, Mykola-
dc.contributor.authorYavorska, Evhenia-
dc.contributor.authorKinash, Roman-
dc.contributor.authorBoyko, Roman-
dc.date.accessioned2024-02-03T11:15:48Z-
dc.date.available2024-02-03T11:15:48Z-
dc.date.issued2024-
dc.date.submitted2023-
dc.identifier.citationKhvostivskyi Mykola, Yavorska Evhenia, Kinash Roman, Boyko Roman. Mathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valves. 3rd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP-2023). CEUR Workshop Proceedings. Ternopil, Ukraine, Opole, Poland, November 22-24, 2023. pp. 491-499. ISSN 1613-0073.uk_UA
dc.identifier.issn1613-0073-
dc.identifier.urihttps://ceur-ws.org/Vol-3628/short19.pdf-
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/44247-
dc.description.abstractMathematical support for phonocardiographic signal processing has been developed based on a mathematical model in the form of a periodically correlated stochastic process and a component processing method. On the basis of mathematical support, algorithmic and software was developed in the Matlab environment for automated systems of computer diagnostics of the functional state of the valves of the human heart when mitral insufficiency is detected.uk_UA
dc.description.tableofcontents1. Introductionuk_UA
dc.description.tableofcontents2. Mathematical support for phonocardiographic signal processinguk_UA
dc.description.tableofcontents3. Algorithmic support for phonocardiographic signal processinguk_UA
dc.description.tableofcontents4. Software and results of phonocardiographic signal processinguk_UA
dc.description.tableofcontents5. Conclusionsuk_UA
dc.description.tableofcontents6. Referencesuk_UA
dc.format.extent491-499-
dc.language.isoenuk_UA
dc.publisherCEUR Workshop Proceedingsuk_UA
dc.relation.urihttps://ceur-ws.org/Vol-3628/short19.pdfuk_UA
dc.subjectMitral valve insufficiency of the human heart, phonocardiographic signaluk_UA
dc.subjectmathematical supportuk_UA
dc.subjectperiodically correlated stochastic processuk_UA
dc.subject, component methoduk_UA
dc.subjectalgorithmic supportuk_UA
dc.subjectsoftwareuk_UA
dc.subjectMatlabuk_UA
dc.titleMathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valvesuk_UA
dc.typeArticleuk_UA
dc.rights.holder© Khvostivskyi Mykola, Yavorska Evhenia, Kinash Roman, Boyko Roman, 2024uk_UA
dc.coverage.placenameCEUR Workshop Proceedings. Ternopil, Ukraine, Opole, Poland, November 22-24, 2023.uk_UA
dc.subject.udc519.216uk_UA
dc.subject.udc612.171.3uk_UA
dc.subject.udc004.4uk_UA
dc.relation.referencesen[1] Baumgartner H, Falk V, Bax JJ, De Bonis M, Hamm C, Holm JP, et al. ESC/EACTS Guidelines for the management of valvular heart disease. Eur Heart J. 2017;38(36): 2739–2791. Available from: doi: 10.1093/eurheartj/ehx391.uk_UA
dc.relation.referencesen[2] Dal-Bianco JP, Aikawa E, Bischoff J, et al. Myocardial infarction alters adaptation of the tethered mitral valve. J Am Coll Cardiol. 2016; 67(3): 275–287. doi:10.1016/j.jacc.2015.10.092.uk_UA
dc.relation.referencesen[3] Deferm S, Bertrand PB, Verbrugge FH, et al. Atrial functional mitral regurgitation: JACC review topic of the week. J Am Coll Cardiol. 2019;73(19):2465–2476. doi:10.1016/j.jacc.2019.02.061.uk_UA
dc.relation.referencesen[4] Deferm S, Bertrand PB, Verhaert D, et al. Mitral annular dynamics in AF versus sinus rhythm: Novel insights into the mechanism of AFMR. JACC Cardiovasc Imaging. 2021;S1936–878X(21)00440-X. doi:10.1016/j. jcmg.2021.05.019.uk_UA
dc.relation.referencesen[5] Donal, E; Panis, V (October 2021). "Interaction between mitral valve apparatus and left ventricle. Functional mitral regurgitation: A brief state-of-the-art overview". Advances in Clinical and Experimental Medicine. 30 (10): 991–997. doi:10.17219/acem/143324. PMID 34714608. S2CID 240154628.uk_UA
dc.relation.referencesen[6] Gertz ZM, Raina A, Saghy L, et al. Evidence of atrial functional mitral regurgitation due to atrial fibrillation: Reversal with arrhythmia control. J Am Coll Cardiol. 2011;58(14):1474–1481. doi:10.1016/j.jacc.2011.06.032.uk_UA
dc.relation.referencesen[7] Grayburn PA, Sannino A, Packer M. Proportionate and disproportionate functional mitral regurgitation: A new conceptual framework that reconciles the results of the MITRA-FR and COAPT trials. JACC Cardiovasc Imaging. 2019;12(2):353–362. doi:10.1016/j.jcmg.2018.11.006.uk_UA
dc.relation.referencesen[8] Eng MH, Wang DD. Transseptal transcatheter mitral valve replacement for post- surgical mitral failures. Intervent Cardiol Rev. 2018;13(2): 77–80. Available from: doi: 10.15420/icr.2017:16:3.uk_UA
dc.relation.referencesen[9] Iung B, Baron G, Butchartv EG, Delahaye F, Gohlke-Baerwolf CW, Leavang OW, et al. A prospective survey of patients with valvular heart disease in Europe: The Euro Heart Survey on Valvular Heart Disease. Eur Heart J. 2003;24: 1231– 1243. Available from: doi: 10.1016/50195-668X(03)00201-X.uk_UA
dc.relation.referencesen[10] Kang DH, Park SJ, Shin SH, et al. Angiotensin receptor neprilysin inhibitor for functional mitral regurgitation. Circulation. 2019;139(11):1354–1365. doi:10.1161/CIRCULATIONAHA.118.037077.uk_UA
dc.relation.referencesen[11] Levine RA, Hagege AA, Judge DP, et al. Mitral valve disease: Morphology and mechanisms. Nat Rev Cardiol. 2015;12(12):689–710. doi:10.1038/nrcardio.2015.161.uk_UA
dc.relation.referencesen[12] Madesis A, Tsakiridis K, Zarogoulidis P, Katsikogiannis N, Machairiotis N, Kougioumtzi I, et al. Review of mitral valve insufficiency: repair or replacement. J Thorac Dis. 2014;6(1): 39–51. Available from: doi: 10.3978/j.issn.2072- 1439.2013.10.20.uk_UA
dc.relation.referencesen[13] Melillo E, Ancona F, Buzzatti N, Denti P, Agricola E. A challenging mitral valve anatomy for percutaneous repair with MitraClip: Cleft posterior leaflet. Eur Heart J Cardiovasc Imaging. 2019;20(12):1433–1434. doi:10.1093/ehjci/jez175.uk_UA
dc.relation.referencesen[14] Marsit O, Clavel MA, Cote-Laroche C, et al. Attenuated mitral leaflet enlargement contributes to functional mitral regurgitation after myocardial infarction. J Am Coll Cardiol. 2020;75(4):395–405. doi:10.1016/j.jacc.2019.11.039.uk_UA
dc.relation.referencesen[15] Sweeney J, Dutta T, Sharma M, et al. Variations in mitral valve leaflet and scallop anatomy on 3-dimensional transesophageal echocardiography. J Am Soc Echocardiogr. 2021;S0894–7317(21)00598-8. doi:10.1016/j.echo.2021.07.010.uk_UA
dc.relation.referencesen[16] Stone GW, Lindenfeld J, Abraham WT, et al. Transcatheter mitral-valve repair in patients with heart failure. N Engl J Med. 2018;379(24):2307–2318. doi:10.1056/NEJMoa1806640.uk_UA
dc.relation.referencesen[17] Gianelly, R. E., Popp, R. L. and Hultgren, H. N. (1970). Heart sounds in patients with homograft replacement of the mitral valve. Circulation, 42, 309.uk_UA
dc.relation.referencesen[18] Lim, Eric; Ali, Ziad A; Barlow, Clifford W; Hosseinpour, A Reza; Wisbey, Christopher; Charman, Susan C; Wells, Francis C; Barlow, John B; (2002) Determinants and assessment of regurgitation after mitral valve repair. The Journal of thoracic and cardiovascular surgery, 124 (5). pp. 911-917. ISSN 0022-5223 DOI: https://doi.org/10.1067/mtc.2002.125341.uk_UA
dc.relation.referencesen[19] Jun Heum Yon, Song Ook Han, Yun Hee Lim, Kye Min Kim, Youn Suk Lee, Ki Hyuk Hong. (2000). Experience of Phonocardiogram during the Mitral Valve Replacement. Korean Journal of Anesthesiology. 39(2):275-277. DOI: https://doi.org/10.4097/kjae.2000.39.2.275.uk_UA
dc.relation.referencesen[20] Dragan Ya.P. Enerhetychna teoriia liniinykh modelei stokhastychnykh syhnaliv. Lviv: Tsentr stratehichnykh doslidzhen eko- bio- tekhnichnykh system, 1997. 361p. [in Ukrainian].uk_UA
dc.relation.referencesen. Martsenyuk, A. Sverstiuk, A. Klos-Witkowska, A. Horkunenko, S. Rajba, Vector of diagnostic features in the form of decomposition coefficients of statistical estimates using a cyclic random process model of cardiosignal. Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2019, 1, pp. 298–303. doi: 10.1109/IDAACS.2019.8924398.uk_UA
dc.relation.referencesen[22] Dragan Yaroslav P., Osukhivskaya G.M. Description of sound cardiosignals by periodically correlated random process model. Journal of Automation and Information Sciences. Volume 31, Issue 7-9, 1999, pp. 59-63. doi: 10.1615/JAutomatInfScien.v31.i7-9.100. ISSN: 10642315.uk_UA
dc.relation.referencesen[23] Dragan Ya. P., Osukhivska H. M. Invarianty tonalnoho syhnalu na pidstavi yoho modeli u vyhliadi periodychno korelovanoho vypadkovoho protsesu // Visnyk Derzhavnoho universytetu “Lvivska politekhnika”. Lviv vyd-vo Derzh. un-tu “Lvivska politekhnika”. 1998. Vol.1, №337. P. 164-166. [in Ukrainian].uk_UA
dc.relation.referencesen[24] Dunets V.L., Khvostivskyi M.O., Sverstiuk A.S., Khvostivska L.V. Matematychne ta alhorytmichno-prohramne zabezpechennia opratsiuvannia elektrokadiosyhnaliv pry fizychnomu navantazhenni u kardiodiahnostychnykh systemakh: naukova monohrafiia. Lviv: Vydavnytstvo «Mahnoliia - 2006», 2022. 136 p. [in Ukrainian].uk_UA
dc.relation.referencesen[25] Hvostivska L.V., Osukhivska H.M., Hvostivskyy M.O., Shadrina H.M., Dediv I.Yu. Development of methods and algorithms for a stochastic biomedical signal period calculation in medical computer diagnostic systems. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (79), pp. 78-84. doi: 10.20535/RADAP.2019.79.78-84.uk_UA
dc.relation.referencesen[26] Franchevska H., Khvostivskyi M., Dozorskyi V., Yavorska E., Zastavnyy O. The Method and Algorithm for Detecting the Fetal ECG Signal in the Presence of Interference. Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023). CEUR Workshop Proceedings. Ternopil, Ukraine, June 14-16, 2023. P.263-272. ISSN 1613-0073.uk_UA
dc.relation.referencesen[27] Hvostivska L., Hvostivskyy M. (2017) Veryfikatsiia synfaznoho ta komponentnoho metodiv analizu pulsovoho syhnalu. Materials of ⅩⅩ Conference TNTU I. Puluj (Tern., 17-18 May 2017), pp. 137-138 [in Ukrainian].uk_UA
dc.relation.referencesen[28] Khvostivska L.V. Mathematical model and methods of pulse signal analysis to increase the informativeness of photoplethysmographic systems: dissertation for obtaining the scientific degree of candidate of technical sciences by specialty 05.01.02 / Liliya Volodymyrivna Khvostivska. Ternopil: TNTU, 2021. 177 p.uk_UA
dc.relation.referencesen[29] Khvostivska L., Uniyat S., Khvostivskyi M., Yavorskyi I. Mathematical Support Verification of Methods, Algorithms and Software Processing of Pulse Signals under Physical Load in Computer Diagnostic Systems. Proceedings of the XXVIII International Scientific and Practical Conference. Melbourne, Australia. 2023. Pp. 185-190. ISBN 979-8-89074-574-3. DOI: 10.46299/ISG.2023.1.28.uk_UA
dc.relation.referencesen[30] Khvostivska L., Khvostivskyi M., Dediv I., Yatskiv V., Palaniza Y. Method, Algorithm and Computer Tool for Synphase Detection of Radio Signals in Telecommunication Networks with Noises. Proceedings of the 1st International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2023). CEUR Workshop Proceedings. Ternopil, Ukraine, June 14-16, 2023. P.173-180. ISSN 1613-0073.uk_UA
dc.relation.referencesen[31] Palianytsia Yu. B. Suchasni pidkhody do opratsiuvannia fonokardiosyhnalu ta matematychna model yoho u vyhliadi periodychno korelovanoho vypadkovoho protsesu // Visnyk Khmelnytskoho natsionalnoho universytetu. Tekhnichni nauky, 2016. Vyp. 2(235). S. 90–93. [in Ukrainian].uk_UA
dc.relation.referencesen[32] Palaniza Y., Yavorska E., Shadrina H., Dediv L. (2018) Phonocardiosignal as a periodically correlated stochastic process preprocessing algorithm structure grounding. Scientific Journal of TNTU (Tern.), vol. 91, no 3, pp. 143-152.uk_UA
dc.relation.referencesen[33] Palaniza Y.B., Shadrina H.M., Khvostivskiy M.O., Dediv L.Ye., Dozorska O.F. Main theoretical basis of biosignals modeling. Znanstvena misel. Slovenia. 2018. №16. P. 39-44Wang, Xin, Tapani Ahonen, and Jari Nurmi. "Applying CDMA technique to network-on-chip." IEEE transactions on very large scale integration (VLSI) systems 15.10 (2007): 1091-1100.uk_UA
dc.relation.referencesen[34] Palaniza Y., Franchevska H. (2018) Enerhetychni aspekty obrobky biosyhnaliv u kardiolohichnii praktytsi [Energy aspects of biosignals processing in cardiology practice]. Book of abstract of the Ⅶ International scientific and technical conference of young researchers and students "Current issues in modern technologies" (Tern., 28-29 November 2018), vol. 3, pp. 243 [in Ukrainian].uk_UA
dc.relation.referencesen[35] Osukhivska H. M. Matematychna model tonovoho syhnalu dlia diahnostyky stanu klapaniv sertsia liudyny: avtoref. dys. na zdobuttia nauk, stupenia kand. tekhn. nauk: 01.05.02 / H.M. Osukhivska. Ternopil, 1999. 20 p. [in Ukrainian].uk_UA
dc.relation.referencesen[36] H. Osuhivs'ka and I. Kyslak, "Random processes statistic application for cardiosignals characteristics determination," MMET '96. VIth International Conference on Mathematical Methods in Electromagnetic Theory. Proceedings, Lviv, Ukraine, 1996, pp. 264-266, doi: 10.1109/MMET.1996.565708.uk_UA
dc.relation.referencesen[37] Osukhivska H. M. Matematychna model porodzhennia tonovoho syhnalu u vyhliadi relaksatsiinoho multypulsatora. Materialy 6-oi nauk. konf. TDTU imeni Ivana Puliuia. Ternopil: TDTU. 2002. P.9. [in Ukrainian].uk_UA
dc.relation.referencesen[38] Khvostivska L., Khvostivskyy M., Dunetc V., Dediv I. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. Proceedings of the 2nd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP 2022). Ternopil, Ukraine, November 22-24, 2022. P.314-318. ISSN 1613-0073.uk_UA
dc.relation.referencesen[39] I. V. Lytvynenko; P. O. Maruschak; S. A. Lupenko; Yu. I. Hats; A. Menou; S. V. Panin Software for segmentation, statistical analysis and modeling of surface ordered structures, AIP Conf. Proc. 1785, 030012, 2016, https://doi.org/10.1063/1.4967033.uk_UA
dc.relation.referencesen[40] S. Lupenko, I. Lytvynenko, A. Sverstiuk, A. Horkunenko, B. Shelestovskyi, Software for statistical processing and modeling of a set of synchronously registered cardio signals of different physical nature. CEUR Workshop Proceedings, 2021, 2864, pp. 194-205.uk_UA
dc.identifier.citationenKhvostivskyi Mykola, Yavorska Evhenia, Kinash Roman, Boyko Roman. Mathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valves. 3rd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP-2023). CEUR Workshop Proceedings. Ternopil, Ukraine, Opole, Poland, November 22-24, 2023. pp. 370-381. ISSN 1613-0073uk_UA
dc.identifier.orcidhttps://orcid.org/0000-0002-2405-4930-
dc.identifier.orcidhttps://orcid.org/0000-0001-6341-1710-
dc.identifier.orcidhttps://orcid.org/0009-0007-0904-595X-
dc.identifier.orcidhttps://orcid.org/0000-0003-3671-9917-
dc.coverage.countryUAuk_UA
Розташовується у зібраннях:Наукові публікації працівників кафедри біотехнічних систем

Файли цього матеріалу:
Файл Опис РозмірФормат 
short19.pdfKhvostivskyi Mykola, Yavorska Evhenia, Kinash Roman, Boyko Roman. Mathematical, Algorithmic and Software Support for Phonocardiographic Signal Processing to Detect Mitral Insufficiency of Human Heart Valves. 3rd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP-2023). CEUR Workshop Proceedings. Ternopil, Ukraine, Opole, Poland, November 22-24, 2023. pp. 491-499. ISSN 1613-0073.1,99 MBAdobe PDFПереглянути/відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.

Інструменти адміністратора