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

Yayun Zhu

Yayun Zhu

Shanghai Polytechnic UniversityChina
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Zhu, Yayun
, 
Sanaa Sharaf

Sanaa Sharaf

Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
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Sharaf, Sanaa
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Basel Jamal Ali

Basel Jamal Ali

Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
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Jamal Ali, Basel
  
13 dic 2021
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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
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© 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.
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.
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.
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
VO2max (ml/kg/min) 50.8 ± 4.6 52.3 ± 5.3
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Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
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