<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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&lt;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.</p>
</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.

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

Department of Computer Science, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

People exercising under high ambient temperature will cause changes in physiological indicators. In order to study the thermal physiological state of the human...

Grouping	NE	HE

Age (years)	21.3 ± 0.3	20.5 ± 0.7
N	9	9
Height (cm)	170.3 ± 0.5	168.6 ± 0.8
Weight (kg)	63.3 ± 3.8	65.0 ± 3.5
HRrest (b/min)	73.6 ± 5.6	75.1 ± 5.7
VO₂max (ml/kg/min)	50.8 ± 4.6	52.3 ± 5.3

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

Publicado en línea: 13 dic 2021

Páginas: 31 - 40

Recibido: 17 jun 2021

Aceptado: 24 sept 2021

DOI: https://doi.org/10.2478/amns.2021.2.00076

Palabras clave
multiple thermal physiology simulation, exercise quantification, thermal regulation, thermal adaptation, physiological changes, health

© 2021 Yayun Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Basic situation and grouping of subjects

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

Publicado en línea: 13 dic 2021

Páginas: 31 - 40

Recibido: 17 jun 2021

Aceptado: 24 sept 2021

DOI: https://doi.org/10.2478/amns.2021.2.00076

Palabras clavemultiple thermal physiology simulation, exercise quantification, thermal regulation, thermal adaptation, physiological changes, health

© 2021 Yayun Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Basic situation and grouping of subjects

Palabras clave
multiple thermal physiology simulation, exercise quantification, thermal regulation, thermal adaptation, physiological changes, health