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

<p>This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the relationship between balance ability and physical training load. Finding the correlation from the time series of randomness can provide the basis for the factor analysis, the precision analysis of prediction, and then determine the main factors. The test results of load and balance ability are briefly analyzed by setting up the measurement indexes of balance ability and three kinds of physical training programs of load. It can be seen that the average value of one-legged closed-eye standing time after HIIT and FATmax interference is 64.24 and 46.9 respectively, which is increased. Then the gray correlation method was used to analyze the HIIT, FATmax and each balance force index, and it was concluded that in the gray correlation analysis, the value of <italic>ρ</italic> is usually taken in the range of {0,1} interval, and according to the experience, here <italic>ρ</italic> is taken as 0.5. The correlations in the results were all above 0.5, which indicated that the selected indexes had a high degree of correlation with the balance force. The HIIT is the major closed-eye one-legged standing performance of the Wushu athletes influencing factor with the highest correlation.</p>
</abstract>

This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the relationship between balance ability and physical training load. Finding the correlation from the time series of randomness can provide the basis for the factor analysis, the precision analysis of prediction, and then determine the main factors. The test results of load and balance ability are briefly analyzed by setting up the measurement indexes of balance ability and three kinds of physical training programs of load. It can be seen that the average value of one-legged closed-eye standing time after HIIT and FATmax interference is 64.24 and 46.9 respectively, which is increased. Then the gray correlation method was used to analyze the HIIT, FATmax and each balance force index, and it was concluded that in the gray correlation analysis, the value of ρ is usually taken in the range of {0,1} interval, and according to the experience, here ρ is taken as 0.5. The correlations in the results were all above 0.5, which indicated that the selected indexes had a high degree of correlation with the balance force. The HIIT is the major closed-eye one-legged standing performance of the Wushu athletes influencing factor with the highest correlation.

Analysis of the correlation between balance ability of Wushu athletes and their physical training loads

Applied Mathematics and Nonlinear Sciences

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

This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the...

Analysis of the correlation between balance ability of Wushu athletes and their physical training loads

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 16. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0508

Schlüsselwörter
Gray correlation method, Factor analysis, Time series, Balance ability

© 2024 Lili Zhang, published by Sciendo

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

Analysis of the correlation between balance ability of Wushu athletes and their physical training loads

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 16. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0508

SchlüsselwörterGray correlation method, Factor analysis, Time series, Balance ability

© 2024 Lili Zhang, published by Sciendo

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

Schlüsselwörter
Gray correlation method, Factor analysis, Time series, Balance ability