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

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

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...

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Bibliographic Details
Main Authors: Tetiana M. Nikitchuk, Tetiana A. Vakaliuk, Oksana A. Chernysh, Oksana L. Korenivska, Liudmyla A. Martseva, Viacheslav V. Osadchyi
Format: Article
Language:English
Published: Academy of Cognitive and Natural Sciences 2022-11-01
Series:Journal of Edge Computing
Subjects:
photoplethysmography
IoT
cardiovascular system
non-contact sensors
edge computing
data processing
Online Access:https://acnsci.org/journal/index.php/jec/article/view/570

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