Multimedia Recognition and Monitoring of Respiration and Heart Rate VO[sub.2] 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 VO[sub.2] max in exercise training based on regression equations. Six female cyclists in province A were used as the experimental subjects. The experiment...

Full description

Saved in:
Bibliographic Details
Published inAdvances in Multimedia Vol. 2022
Main Author Liu, Qiaojuan
Format Journal Article
LanguageEnglish
Published John Wiley & Sons, Inc 19.05.2022
Subjects
Cyclists
Heart beat
Patient monitoring equipment
Training
Online AccessGet full text

Cover

More Information
Summary:As an important basis for improving physical fitness and promoting health, the author proposes a research on the identification and monitoring of VO[sub.2] 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 V[sub.0]O. 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.
ISSN:1687-5680
DOI:10.1155/2022/9023144