Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 1 (January 2023)
Open Access
A multi-factor Regression Equation-based Test of Fitness Maximal Aerobic Capacity in Athletes
Xiaoling Li
Xiaoling Li
| Jul 15, 2022
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 1 (January 2023)
About this article
Previous Article
Next Article
Abstract
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jul 15, 2022
Page range:
1719 - 1730
Received:
Apr 14, 2022
Accepted:
Jun 11, 2022
DOI:
https://doi.org/10.2478/amns.2022.2.0160
Keywords
Multifactorial regression equations
,
Athletes
,
Aerobic capacity tests
© 2023 Xiaoling Li, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1
Principle of aerobic respiration
Figure 2
Cardiopulmonary function test model
Figure 3
Multiple linear regression model
Figure 4
Explanation of particle swarm optimization methods
Figure 5
Human body's aerobic respiration process
Figure 6
Cardiorespiratory exercise profile