Non-contact photoplethysmographic sensors for monitoring students' cardiovascular system functional state in an IoT system
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Abstract
This article explores the technical feasibility of a hardware complex that employs photoplethysmographic sensors to measure the parameters of students' cardiovascular system functional state. The method of photoplethysmography utilizes non-contact sensors, which eliminate circulatory disorders caused by artery compression and enable the calculation of oxygen saturation via the pulse wave. The proposed hardware consists of several optocouplers arranged in series, parallel, or parallel-series configurations, with the mode of operation controlled by the intensity of the received pulse wave signal, depending on the individual's body constitution. The edge device hardware is a component of an Internet of Things (IoT) system that includes another edge device, which instantaneously transmits data to a database on the edge server for further processing and storage.
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Accepted 2022-11-20
Published 2022-11-21
References
Alekseev, V.A., Perminov, A.S. and Yuran, S.I., 2011. Mutual arrangement of the source and receiver of the sensor radiation for photoplethysmography. Instruments and methods of measurements, 1(2).
Ayusheeva, L.V., Boronoev, V.V., Lebedintseva, I.V. and Ledneva, I.P., 2009. Time parameters of the pulse wave in the diagnostics of human diseases according to the tradition of Tibetan medicine. Biomedical Radioelectronics, 3, pp.17–23.
Candanedo, I.S. and Corchado, J.M., 2019. An Edge Computing Tutorial. Orient. J. Comp. Sci. and Technol., 12(2). Available from: https://doi.org/10.13005/ojcst12.02.02. DOI: https://doi.org/10.13005/ojcst12.02.02
Fainzilberg, L.S., 2017. New opportunities of phasegraphy in medical practice. Science and Innovation, 13(3), pp.37–50. DOI: https://doi.org/10.15407/scine13.03.037
Gorna, O., Stanishevska, T., Kopulova, T., Yusupova, O. and Horban, D., 2020. Research of the somatic health of student youth using information and communication technologies. E3S Web of Conferences, 166. Available from: https://doi.org/10.1051/e3sconf/202016610034. DOI: https://doi.org/10.1051/e3sconf/202016610034
Hanchuk, O., Bondarenko, O., Varfolomyeyeva, I., Pakhomova, O. and Lohvynenko, T., 2020. Couchsurfing as a virtual hospitality network and a type of sustainable youth tourism. E3S Web of Conferences, 166. Available from: https://doi.org/10.1051/e3sconf/202016609005. DOI: https://doi.org/10.1051/e3sconf/202016609005
Hassan, N., Gillani, S., Ahmed, E., Yaqoob, I. and Imran, M., 2018. The Role of Edge Computing in Internet of Things. IEEE Communications Magazine, 56(11), pp.110–115. Available from: https://doi.org/10.1109/MCOM.2018.1700906. DOI: https://doi.org/10.1109/MCOM.2018.1700906
Huh, J. and Seo, Y., 2019. Understanding Edge Computing: Engineering Evolution With Artificial Intelligence. IEEE Access, 7, pp.164229–164245. Available from: https://doi.org/10.1109/ACCESS.2019.2945338. DOI: https://doi.org/10.1109/ACCESS.2019.2945338
Isupov, I.B. and Zatrudina, R.S., 2018. Electronic module for photoplethysmography and pulse oximetry. Natural Systems and Resources, 8(3). DOI: https://doi.org/10.15688/nsr.jvolsu.2018.3.2
Kachmar, V.O. and Avramenko, V.I., 2011. Directions of development of information technologies in medicine. Medicine of transport of Ukraine, 3, pp.96–103.
Kachmar, V.O. and Khvyshchun, A.I., 2008. Electronic medical record of the patient. Mutual compatibility and standardization. Ukrainian Journal of Telemedicine and Medical Telematics, 6(1), pp.76–79.
Kiv, A., Soloviev, V., Semerikov, S., Danylchuk, H., Kibalnyk, L. and Matviychuk, A., 2019. Experimental economics and machine learning for prediction of emergent economy dynamics. CEUR Workshop Proceedings, 2422, pp.1–4. DOI: https://doi.org/10.31812/123456789/3209
Klochko, O., Fedorets, V., Maliar, O. and Hnatuyk, V., 2020. The use of digital models of hemodynamics for the development of the 21st century skills as a components of healthcare competence of the physical education teacher. E3S Web of Conferences, 166. Available from: https://doi.org/10.1051/e3sconf/202016610033. DOI: https://doi.org/10.1051/e3sconf/202016610033
Klochko, O.V., Fedorets, V.M., Uchitel, A.D. and Hnatyuk, V.V., 2020. Methodological aspects of using augmented reality for improvement of the health preserving competence of a Physical Education teacher. CEUR Workshop Proceedings, 2731, pp.108–128. DOI: https://doi.org/10.31812/123456789/4405
Kopnyak, K.V., 2017. Estimation of efficiency of medical information systems introduction. Economy and organization of management, 2(26), pp.109–119.
Kozlovskaya, T.I., 2012. Optical-electronic device for diagnosing the state of peripheral circulation with high reliability. Ph.D. thesis. Vinnytsia National Technical University, Vinnytsia.
Leonenkov, A.V., 2005. Fuzzy modeling in MATLAB and fussy TECH. BHV-Petersburg.
Lorido-Botran, T. and Bhatti, M.K., 2021. ImpalaE: Towards an optimal policy for efficient resource management at the edge. CEUR Workshop Proceedings, 2850, pp.71–82. Available from: http://ceur-ws.org/Vol-2850/paper5.pdf.
Lutsenko, I., Vihrova, E., Fomovskaya, E. and Serdiuk, O., 2016. Development of the method for testing of efficiency criterion of models of simple target operations. Eastern-European Journal of Enterprise Technologies, 2(4), pp.42–50. Available from: https://doi.org/10.15587/1729-4061.2016.66307. DOI: https://doi.org/10.15587/1729-4061.2016.66307
Meshko, H., Meshko, O., Drobyk, N. and Mikheienko, O., 2020. Psycho-pedagogical training as a mean of forming the occupational stress resistance of future teachers. E3S Web of Conferences, 166. Available from: https://doi.org/10.1051/e3sconf/202016610023. DOI: https://doi.org/10.1051/e3sconf/202016610023
Mosiychuk, V.S., 2011. Multisignal digital registration and processing of pulse wave parameters. Ph.D. thesis. Nat. tech. University of Ukraine ’Kyiv Polytechnic Institute’, Kyiv.
Munir, S., Guilcher, A., Kamalesh, T., Clapp, B., Redwood, S., Marber, M. and Chowienczyk, P., 2008. Peripheral Augmentation Index Defines the Relationship Between Central and Peripheral Pulse Pressure. Hypertension, 51(1), pp.112–118. Available from: https://doi.org/10.1161/HYPERTENSIONAHA.107.096016. DOI: https://doi.org/10.1161/HYPERTENSIONAHA.107.096016
Nikitchuk, T.M., 2015. Devising an information system for the analysis of pulse signals. Eastern-European Journal of Enterprise Technologies, 5(9(77)), p.19–23. Available from: https://doi.org/10.15587/1729-4061.2015.51219. DOI: https://doi.org/10.15587/1729-4061.2015.51219
Nikitchuk, T.N., Manoilov, V.F. and Martynchuk, P.P., 2012. Recording technique of photoplethysmographic signals for study in the phase plane. 2012 22nd International Crimean Conference "Microwave Telecommunication Technology". pp.981–982.
Nikitchuk, T.N. and Manoylov, V.F., 2011. The technique of pulse signals processing in a phase plane. 2011 21st International Crimean Conference "Microwave Telecommunication Technology". pp.1040–1041.
Nosenko, Y. and Sukhikh, A., 2019. The method for forming the health-saving component of basic school students’ digital competence. CEUR Workshop Proceedings, 2393, pp.178–190.
Nosenko, Y., Sukhikh, A. and Dmytriienko, O., 2020. Organizational and pedagogical conditions of ICT health-saving usage at school: Guidelines for teachers. CEUR Workshop Proceedings, 2732, pp.1069–1081.
Pavlov, S.V., Kozhemyako, V.P., Petruk, V.G. and Kolisnyk, P.F., 2007. Photoplethysmographic technologies of control of the cardiovascular system. Vinnytsia: UNIVERSUM-Vinnytsia.
Rogatkin, D.A., 2012. Physical basis of optical oximetry. Medical Physic, 2, pp.97–114.
Ryabko, A.V., Zaika, O.V., Kukharchuk, R.P. and Vakaliuk, T.A., 2021. Graph model of Fog Computing system. CEUR Workshop Proceedings, 2850, pp.28–44. Available from: http://ceur-ws.org/Vol-2850/paper2.pdf.
Semerikov, S., Chukharev, S., Sakhno, S., Striuk, A., Osadchyi, V., Solovieva, V., Vakaliuk, T., Nechypurenko, P., Bondarenko, O. and Danylchuk, H., 2020. Our sustainable coronavirus future. E3S Web of Conferences, 166, p.00001. Available from: https://doi.org/10.1051/e3sconf/202016600001. DOI: https://doi.org/10.1051/e3sconf/202016600001
Shiyan, D., Ostapchuk, I. and Lakomova, O., 2020. Geographical analysis of ecology-dependent diseases of Kryvyi Rih population in order to provide a sustainable development of the industrial regions. E3s web of conferences, 166. Available from: https://doi.org/10.1051/e3sconf/202016601012. DOI: https://doi.org/10.1051/e3sconf/202016601012
Shurygin, I.A., 2000. Respiration monitoring: pulse oximetry, capnography, oximetry. Moscow: BINOM.
Soloviev, V.N. and Belinskiy, A., 2019. Complex Systems Theory and Crashes of Cryptocurrency Market. Communications in Computer and Information Science, 1007, pp.276–297. Available from: https://doi.org/10.1007/978-3-030-13929-2_14. DOI: https://doi.org/10.1007/978-3-030-13929-2_14
Voloshin, O.A., Oleinik, V.P., Kulish, S.N. and Sami, A.O., 2010. ECG method for diagnostics of human functional state on the basis of fractal analysis and wavelet transform. Radioelectronics and Computer systems, 4(45), pp.29–34.
Zelinska, S.O., Azaryan, A.A. and Azaryan, V.A., 2018. Investigation of opportunities of the practical application of the augmented reality technologies in the information and educative environment for mining engineers training in the higher education establishment. CEUR Workshop Proceedings, 2257, pp.204–214. DOI: https://doi.org/10.31812/123456789/2672