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dc.contributor.authorЯворська, Євгенія Богданівна-
dc.contributor.authorСтрембіцька, Оксана Іванівна-
dc.contributor.authorСтрембіцький, Михайло Олексійович-
dc.contributor.authorПаньків, Ірина Михайлівна-
dc.date.accessioned2021-05-14T17:14:56Z-
dc.date.available2021-05-14T17:14:56Z-
dc.date.issued2021-04-
dc.identifier.citationЯворська, Є. Б., Стрембіцька, О. І., Стрембіцький, М. О., & Паньків, І. М. (2021). Розробка імітаційної моделі фотоплетизмографічного сигналу при психоемоційному стресі. Eastern-European Journal of Enterprise Technologies, 2(9 (110), 36–45. https://doi.org/10.15587/1729-4061.2021.227001uk_UA
dc.identifier.issn1729-4061-
dc.identifier.issn1729-3774-
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/35049-
dc.description.abstractA simulation model of a photoplethysmograph-ic signal under psychoemotional stress taking into account the nature of signals of biological origin and stress response stages was developed. The method of constructing the simulation model is based on recon-structing the waveform and coding points of the sig-nal taking into account the stress response curve using harmonic functions at characteristic time intervals. Using the simulation model of the pho-toplethysmographic signal under psychoemotion-al stress with previously known parameters allows validation of methods and algorithms for process-ing such data. It was found that in the process of simulation, it is necessary to take into account the signal frequency, random component and stress response curve. This complicates the simulation algorithm. However, using the simulation model with variable input parameters allows reproducing the signal with an emphasis on stress response stag-es. One of the features of the proposed model is the ability to reproduce the signal by coding points for amplitude and time intervals using harmonic func-tions. The relative error for the amplitude variation of the model and experimental data is 3.97 %, and for the period – 3.41 %. Calculation of Student's t-test showed a statistically insignificant difference: p=0.296 for the amplitude and p=0.275 for the peri-od. This indicates that the simulation model takes into account the signal characteristics under stress: frequency, random component and stress response curve. Using the proposed simulation model is an adequate way to assess methods and algorithms for analyzing the state of the cardiovascular system under psychoemotional stressuk_UA
dc.format.extent36-45-
dc.language.isoenuk_UA
dc.publisherEastern-European Journal of Enterprise Technologiesuk_UA
dc.relation.urihttp://journals.uran.ua/eejet/article/view/227001uk_UA
dc.subjectгармонічна функціяuk_UA
dc.subjectімітаційна модельuk_UA
dc.subjectперіодичний сигналuk_UA
dc.subjectпсихоемоційний стресuk_UA
dc.subjectфотоплетизмографічний сигналuk_UA
dc.subjectharmonic functionuk_UA
dc.subjectsimulation modeluk_UA
dc.subjectperiodic signaluk_UA
dc.subjectphotoplethysmographic signaluk_UA
dc.titleDevelopment of a simulation model of a photoplethysmographic signal under psychoemotional stressuk_UA
dc.title.alternativeРозробка імітаційної моделі фотоплетизмографічного сигналу при психоемоційному стресіuk_UA
dc.typeArticleuk_UA
dc.rights.holderЯворська Є.Б., 2021uk_UA
dc.rights.holderСтрембіцька О.І., 2021uk_UA
dc.rights.holderСтрембіцький М.О., 2021uk_UA
dc.rights.holderПаньків І.М., 2021uk_UA
dc.coverage.placenameХарківuk_UA
dc.subject.udc519.213:612.16:621.383.8uk_UA
dc.relation.referencesenBurgonskyi, V., Вurgonskaya, S. (2014). Changes in stress as a prerequisite for psychosomatic disorders dental patients. Sovremennaya stomatologiya, 4, 13–20.uk_UA
dc.relation.referencesenDem'yanenko, C. A., Avdonina, L. I., Boyko, V. V. (2004). Kardiomonitoring pri razlichenii boyazni i straha i prinyatii resheniya o premedikatsii na stomatologicheskom prieme. Institut ctomatologii, 3 (24), 8–12. Available at: https://instom.spb.ru/catalog/article/8594/?view=pdfuk_UA
dc.relation.referencesenDemyanenko, S. A. (2014). Psycho-emotional stress of hypertensive reaction to dental reception. Vyatskiy meditsinskiy vestnik, 3-4, 53–56. Available at: https://cyberleninka.ru/article/n/psihoemotsionalnoe-napryazhenie-v-razvitii-gipertenzivnyh-reaktsiy-na-stomatologicheskom-prieme/vieweruk_UA
dc.relation.referencesenVagner, V. D., Nimaev, B. Ts. (2005). Kontseptual'nye osnovy dal'neyshego razvitiya obschey (semeynoy) praktiki v stomatologii. Institut stomatologii, 4, 20–21. Available at: https://instom.spb.ru/catalog/article/8762/?view=pdfuk_UA
dc.relation.referencesenMintser, O. P. (Ed.) (2011). Suchasni metody i zasoby dlia vyznachennia i diahnostuvannia emotsiynoho stresu. Vinnytsia: VNTU, 228. Available at: http://dspace.wunu.edu.ua/jspui/bitstream/316497/2138/1/Monografiya_Syergyeyeva.pdfuk_UA
dc.relation.referencesenMoraes, J., Rocha, M., Vasconcelos, G., Vasconcelos Filho, J., de Albuquerque, V., Alexandria, A. (2018). Advances in Photopletysmography Signal Analysis for Biomedical Applications. Sensors, 18 (6), 1894. doi: https://doi.org/10.3390/s18061894uk_UA
dc.relation.referencesenTkachenko, P. I., Lokhmatova, N. M., Byеlokon, S. A., Dobroskok, V. A. (2017). The intensity of emotional tension in children with cleft palate in response to situational stress. Ukrainskyi stomatolohichnyi almanakh, 1, 75–78. Available at: http://elib.umsa.edu.ua/jspui/bitstream/umsa/10292/1/Vyrazhenist_psykhoemotsiinoho_napruzhennia.pdfuk_UA
dc.relation.referencesenMoshkevich, V. S. (1970). Fotopletizmografiya (Apparatura i metody issledovaniya). Moscow: Meditsina, 208. Available at: https://www.twirpx.com/file/1537026uk_UA
dc.relation.referencesenAkulov, V. A. (2006). Model' pul'sovoy volny i ee realizatsiya v srede Excel. Proceedings of the Third All-Russian Scientific Conference. P. 4, Matem. Mod. Kraev. Zadachi. Samara, 13–16. Available at: http://www.mathnet.ru/links/7fb61787446959c52d59306ab30dee10/mmkz693.pdfuk_UA
dc.relation.referencesenSamkov, C. B., Chernenko, A. I. (2006). Sverhshirokopolosnyy radar dlya izmereniya parametrov serdechno-sosudistoy sistemy cheloveka pri fizicheskih nagruzkah. II Vseros. nauchnaya konf.-seminar. Murom, 475–479.uk_UA
dc.relation.referencesenGnilitskyy, V. V., Muzhitska, N. V. (2010). Refinement of the harmonic model of pulse wave for the express-diagnosis of pulsogram. Visnyk ZhDTU. Seriya "Tekhnichni nauky", 4 (55), 28–38.uk_UA
dc.relation.referencesenWu, H.-T., Wu, H.-K., Wang, C.-L., Yang, Y.-L., Wu, W.-H., Tsai, T.-H., Chang, H.-H. (2016). Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform. PLOS ONE, 11 (6), e0157135. doi: https://doi.org/10.1371/journal.pone.0157135uk_UA
dc.relation.referencesenHvostivska, L. V., Oksukhivska, H. M., Hvostivskyy, M. O., Shadrina, H. M. (2019). Imitation Modeling of the Daily Pulse Signal for Long-Term Monitoring Systems. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, 77, 66–73. doi: https://doi.org/10.20535/radap.2019.77.66-73uk_UA
dc.relation.referencesenTrigranyan, R. A. (1988). Stress i ego znachenie dlya organizma. Moscow: Nauka, 175.uk_UA
dc.relation.referencesenKokun, O. M., Ahaiev, N. A., Pishko, I. O., Lozinska, N. S. (2015). Osnovy psykholohichnoi dopomohy viyskovosluzhbovtsiam v umovakh boiovykh diy. Kyiv: NDTs HP ZSU, 170. Available at: https://lib.iitta.gov.ua/11222/1/%D0%9F%D0%BE%D1%81%D1%96%D0%B1%D0%BD%D0%B8%D0%BA_2015.pdfuk_UA
dc.relation.referencesenWawrzyniak, A. J., Dilsizian, V., Krantz, D. S., Harris, K. M., Smith, M. F., Shankovich, A. et. al. (2015). High Concordance Between Mental Stress-Induced and Adenosine-Induced Myocardial Ischemia Assessed Using SPECT in Heart Failure Patients: Hemodynamic and Biomarker Correlates. Journal of Nuclear Medicine, 56 (10), 1527–1533. doi: https://doi.org/10.2967/jnumed.115.157990uk_UA
dc.relation.referencesenShevchenko, V. V., Osadchiy, A. V., Esipenko, E. S. (2012). Sposob vydeleniya informativnyh parametrov fotopletizmosignala dlya opredeleniya sistemnyh reaktsiy na MLT. Sovremennye nauchnye issledovaniya i innovatsii, 5. Available at: http://web.snauka.ru/issues/2012/05/12640uk_UA
dc.relation.referencesenHvostivska, L. V. (2016). The human vascular pulse signal imitation model. Herald of Khmelnytskyi national university. Technical sciences, 2, 94–100. Available at: http://nbuv.gov.ua/UJRN/Vchnu_tekh_2016_2_18uk_UA
dc.relation.referencesenTeng, Y., Ge, L., Chou, Y. (2018). A Novel Abnormal Segments Detection Method for Photopletysmography Signal. 2018 37th Chinese Control Conference (CCC). doi: https://doi.org/10.23919/chicc.2018.8483815uk_UA
dc.relation.referencesenTakazawa, K., Tanaka, N., Fujita, M., Matsuoka, O., Saiki, T., Aikawa, M. et. al. (1998). Assessment of Vasoactive Agents and Vascular Aging by the Second Derivative of Photoplethysmogram Waveform. Hypertension, 32 (2), 365–370. doi: https://doi.org/10.1161/01.hyp.32.2.365uk_UA
dc.relation.referencesenAskarian, B., Jung, K., Chong, J. W. (2019). Monitoring of Heart Rate from Photoplethysmographic Signals Using a Samsung Galaxy Note8 in Underwater Environments. Sensors, 19 (13), 2846. doi: https://doi.org/10.3390/s19132846uk_UA
dc.identifier.citationenYavorska, E., Strembitska, O., Strembitskyi, M., & Pankiv, I. (2021). Development of a simulation model of a photoplethysmographic signal under psychoemotional stress. Eastern-European Journal of Enterprise Technologies, 2(9 (110), 36–45. https://doi.org/10.15587/1729-4061.2021.227001uk_UA
dc.contributor.affiliationТНТУuk_UA
dc.citation.journalTitleEastern-European Journal of Enterprise Technologies-
dc.coverage.countryUAuk_UA
Розташовується у зібраннях:Наукові публікації працівників кафедри біотехнічних систем

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