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Applied Mathematics and Nonlinear Sciences
Volume 7 (2022): Issue 2 (July 2022)
Open Access
Sports health quantification method and system implementation based on multiple thermal physiology simulation
Yayun Zhu
Yayun Zhu
,
Sanaa Sharaf
Sanaa Sharaf
and
Basel Jamal Ali
Basel Jamal Ali
| Dec 13, 2021
Applied Mathematics and Nonlinear Sciences
Volume 7 (2022): Issue 2 (July 2022)
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Published Online:
Dec 13, 2021
Page range:
31 - 40
Received:
Jun 17, 2021
Accepted:
Sep 24, 2021
DOI:
https://doi.org/10.2478/amns.2021.2.00076
Keywords
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
The effect of exercise on HR and RPE in a thermal environment. HE, high fever group; RPE, physical performance rating.
Fig. 2
Scatter plot of HR and RPE in a thermal environment. RPE, physical performance rating.
Fig. 3
Changes in the Tre of the subjects under exercise in the two environments. HE, high fever group; NE, control group; Tre, rectal temperature.
Basic situation and grouping of subjects
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
VO
2
max (ml/kg/min)
50.8 ± 4.6
52.3 ± 5.3