Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

December 13, 2021


Pages

31-40


DOI

Article

Sports health quantification method and system implementation based on multiple thermal physiology simulation

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Authors

Yayun Zhu Affiliation:
Shanghai Polytechnic University, Shanghai, China
, Sanaa Sharaf Affiliation:
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Basel Jamal Ali Affiliation:
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia


Abstract

People exercising under high ambient temperature will cause changes in physiological indicators. In order to study the thermal physiological state of the human body, we randomly selected 18 volunteers into the thermal environment exercise group and the room temperature exercise group. Two groups of volunteers performed aerobic exercises in different thermal environments. In the case of exercise performed every 15 min, the volunteers’ hemorheology, physical performance rating (RPE) value and rectal temperature (Tre) were tested. At the same time, we recorded the physiological indicators of the volunteers and simulated the thermal physiology. The results showed that there was a difference in the thermal physiology of the two groups of volunteers, and the hemorheology and the self-strain rating scale were highly correlated in the thermal environment (r=0.839, P<0.01). For this reason, we can conclude that exercising in a hot environment will make people have a heavier heat stress response, and thus render them more likely to undergo muscle fatigue. It is advised that exercising at high temperatures may be avoided as much as possible.


Keywords

multiple thermal physiology simulation, exercise quantification, thermal regulation, thermal adaptation, physiological changes, health, 35K05


Citation

Zhu, Y., Sharaf, S., & Jamal Ali, B. (2021). Sports health quantification method and system implementation based on multiple thermal physiology simulation. Applied Mathematics and Nonlinear Sciences, 6(2), 31–40. https://doi.org/10.2478/amns.2021.2.00076

Published by: Engineering Journals

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