Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
As an important basis for improving physical fitness and promoting health, the author proposes a research on the identification and monitoring of VO2 max in exercise training based on regression equations. Six female cyclists in province A were used as the experimental subjects. The experimental per...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/9023144 |
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| Summary: | As an important basis for improving physical fitness and promoting health, the author proposes a research on the identification and monitoring of VO2 max in exercise training based on regression equations. Six female cyclists in province A were used as the experimental subjects. The experimental period was 4 weeks, and the training content was carried out by the coaches according to the training plan. The coefficients of the resulting equations were not significant by a univariate regression analysis of heart rate at LT and V0O. When heart rate is used as the dependent variable, Y represents LT, X represents VT, and heart rate is the independent variable, and unitary regression analysis is performed to obtain the following equation: VT-LT heart rate regression analysis before training: Y = 200.828–0.240XP=0.391>0.05; training post-VT-LT heart rate regression analysis: Y = 239.445–0.469XP=0.073>0.05; VT-LT heart rate comprehensive regression analysis: Y = 218.120–0.343XP=0.043>0.05, the coefficients are significantly different, and the equation is reliable. |
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| ISSN: | 1687-5699 |