Non-contact photoplethysmographic sensors for monitoring students' cardiovascular system functional state in an IoT system

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Tetiana M. Nikitchuk
Tetiana A. Vakaliuk
Oksana A. Chernysh
Oksana L. Korenivska
Liudmyla A. Martseva
Viacheslav V. Osadchyi


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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Nikitchuk, T.M., Vakaliuk, T.A., Chernysh, O.A., Korenivska, O.L., Martseva, L.A. and Osadchyi, V.V., 2022. Non-contact photoplethysmographic sensors for monitoring students’ cardiovascular system functional state in an IoT system. Journal of Edge Computing [Online], 1(1), pp.17–28. Available from: [Accessed 24 May 2024].

How to Cite

Nikitchuk, T.M., Vakaliuk, T.A., Chernysh, O.A., Korenivska, O.L., Martseva, L.A. and Osadchyi, V.V., 2022. Non-contact photoplethysmographic sensors for monitoring students’ cardiovascular system functional state in an IoT system. Journal of Edge Computing [Online], 1(1), pp.17–28. Available from: [Accessed 24 May 2024].
Received 2022-05-06
Accepted 2022-11-20
Published 2022-11-21


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