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: Qiaojuan Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/9023144
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author Qiaojuan Liu
author_facet Qiaojuan Liu
author_sort Qiaojuan Liu
collection DOAJ
description 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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spelling doaj-art-6e9792ea005e46c28d05ffec50275f6c2025-02-03T05:53:35ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/9023144Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression EquationQiaojuan Liu0Department of Physical EducationAs 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.http://dx.doi.org/10.1155/2022/9023144
spellingShingle Qiaojuan Liu
Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
Advances in Multimedia
title Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
title_full Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
title_fullStr Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
title_full_unstemmed Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
title_short Multimedia Recognition and Monitoring of Respiration and Heart Rate VO2 Max in Exercise Training Based on Regression Equation
title_sort multimedia recognition and monitoring of respiration and heart rate vo2 max in exercise training based on regression equation
url http://dx.doi.org/10.1155/2022/9023144
work_keys_str_mv AT qiaojuanliu multimediarecognitionandmonitoringofrespirationandheartratevo2maxinexercisetrainingbasedonregressionequation