Maximal oxygen uptake prediction from submaximal bicycle ergometry using a differential model.

Area of Science:

• Exercise Physiology
• Cardiorespiratory Fitness Assessment

Background:

• Maximal oxygen uptake (VO2max) is a key indicator of cardiorespiratory fitness.
• Traditional VO2max assessment requires exhaustive exercise, limiting its application in certain populations.
• Submaximal testing offers a less strenuous alternative for VO2max estimation.

Purpose of the Study:

• To propose and validate a novel method for predicting VO2max using submaximal exercise tests.
• To assess the accuracy of the proposed method by comparing predicted VO2max with values obtained from maximal exercise tests.

Main Methods:

• A recently developed model of heart rate (HR) and VO2 kinetics was utilized.
• An experimental protocol involving graded exercise tests up to 80% of estimated maximal HR was applied.
• VO2max was predicted based on cardiorespiratory recordings from the submaximal test and compared to maximal test results.

Main Results:

• The proposed method demonstrated an acceptable accuracy for VO2max prediction.
• Relative errors between predicted and measured VO2max values ranged from 1.2% to 13.4%.

Conclusions:

• The developed submaximal testing protocol provides a viable and accurate method for estimating VO2max.
• This approach is suitable for rehabilitation assessment and training monitoring where maximal exertion is not feasible.