Abstract
Evaluation of arterial elasticity is still an urgent task, and the most commonly used and recommended method for this is based on the assessment of pulse wave propagations velocity (PWPV) in the arterial vessels. Unfortunately, this strategy does not fully meet modern requirements due to insufficient accuracy and instability of the results obtained. The analysis of the main sources of errors in the assessment of PWPV of arterial vessels was carried out and ways of their neutralization were proposed. The accuracy of the PWPV estimate can be improved by using the high frequency component of the pulse wave to estimate the time delay. Experimental data, obtained using the “ReoCom” rheographic complex, confirm the correctness of the proposed strategy.
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References
Bai, Y., et al.: Comparison of risk of target organ damage in different phenotypes of arterial stiffness and central aortic blood pressure. Frontiers in Cardiovascular Medicine 9, 839875 (2022). https://doi.org/10.3389/fcvm.2022.839875
Yu, S., McEniery, C.M.: Central versus peripheral artery stiffening and cardiovascular risk. Arterioscler. Thromb. Vasc. Biol. 40(5), 1028–1033 (2020). https://doi.org/10.1161/ATVBAHA.120.313128
Kusche, R., Klimach, P., Ryschka, M.: A multichannel real-time bioimpedance measurement device for pulse wave analysis. IEEE Trans. Biomed. Circuits Syst. 12(3), 614–622 (2018). https://doi.org/10.1109/TBCAS.2018.2812222
Koivistoinen, T., et al.: Pulse wave velocity predicts the progression of blood pressure and development of hypertension in young adults. Hypertension 71(3), 451–456 (2018). https://doi.org/10.1161/HYPERTENSIONAHA.117.10368
Starodumov, I.O., et al.: Modelling of hemodynamics in bifurcation lesions of coronary arteries before and after myocardial revascularization. Phil. Trans. R. Soc. A 380(2217), 20200303 (2022). https://doi.org/10.1098/rsta.2020.0303
Gamilov, T., et al.: Computational analysis of coronary blood flow: the role of asynchronous pacing and arrhythmias. Mathematics 8(8), 1205 (2020). https://doi.org/10.3390/math8081205
Caro, C.G., Pedley, T.J., Schroter, R.C., Seed, W.A.: The Mechanics of the Circulation. Cambridge University Press, Cambridge (2012)
Shokawa, T., et al.: Pulse wave velocity predicts cardiovascular mortality findings from the Hawaii-Los Angeles-Hiroshima study. Circ. J. 69(3), 259–264 (2005). https://doi.org/10.1253/circj.69.259
Naka, K.K., et al.: Flow-mediated changes in pulse wave velocity: a new clinical measure of endothelial function. Eur. Heart J. 27(3), 302–309 (2006). https://doi.org/10.1093/eurheartj/ehi619
Antonchyk, O.N., Nasedkin, K.V., Sharonov, V.B., Shulgin, V.I.: Arterial blood pressure evaluation based on joint processing of the vital signs parameters. Telecommunications and Radio Engineering 75(18), 1679–1693 (2016). https://doi.org/10.1615/TelecomRadEng.v75.i18.70
Viunytskyi, O., Shulgin, V., Sharonov, V., Totsky, A.: Non-invasive cuff-less measurement of blood pressure based on machine learning. In: 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pp. 203–206. IEEE, Lviv-Slavske (2020). https://doi.org/10.1109/TCSET49122.2020.235423
Nabeel, P.M., et al.: Local pulse wave velocity: theory, methods, advancements, and clinical applications. IEEE Rev. Biomed. Eng. 13, 74–112 (2019). https://doi.org/10.1109/RBME.2019.2931587
Sergieiev, V.G., Kiselgov, E.N.: Assessment of the vascular system state on the results of rheographic measurements. Herald of Epileptology 1, 49–62 (2007). [In Russian]
Karageorgos, G.M., et al.: Arterial wall mechanical inhomogeneity detection and atherosclerotic plaque characterization using high frame rate pulse wave imaging in carotid artery disease patients in vivo. Phys. Med. Biol. 65(2), 025010 (2020). https://doi.org/10.1088/1361-6560/ab58fa
Lee, J.G., Joo, S.J.: Arterial stiffness and cardiovascular risk. The Korean Journal of Internal Medicine 34(3), 504–506 (2019). https://doi.org/10.3904/kjim.2019.110
Hasegawa, H.: Analysis of arterial wall motion for measurement of regional pulse wave velocity. Japanese Journal of Applied Physics 57(7S1), 07LF01 (2018). https://doi.org/10.7567/JJAP.57.07LF01
Pechenin, A., Kyrychenko, V., Kulbashevskyi, V., Kiselgov, E.: Development of telemedicine system telecom for remote monitoring of patients. Telecommunications and Radio Engineering 76(1), 87–94 (2017). https://doi.org/10.1615/TelecomRadEng.v76.i1.70
Yukhymenko, L., et al.: Link between brain circulation and nervous mobility of athletes and non-athletes during the orthostatic test. Journal of Physical Education and Sport 20(6), 3660–3670 (2020). https://doi.org/10.7752/jpes.2020.06493
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Kyrychenko, V., Kulbashevska, T., Sergieiev, V., Piddubna, L. (2023). Pulse Wave Propagation Velocity and Assessment of Arterial Vessel Elasticity. In: Arsenyeva, O., Romanova, T., Sukhonos, M., Tsegelnyk, Y. (eds) Smart Technologies in Urban Engineering. STUE 2022. Lecture Notes in Networks and Systems, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-031-20141-7_6
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