Mean Normalized Gain: A New Method for the Assessment of the Aerobic System Temporal Dynamics during Randomly Varying Exercise in Humans

The temporal dynamics of the oxygen uptake ([Formula: see text]) during moderate exercise has classically been related to physical fitness and a slower [Formula: see text] dynamics was associated with deterioration of physical health. However, methods that better characterize the aerobic system temp...

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Bibliographic Details
Published inFrontiers in physiology Vol. 8; p. 504
Main Authors Beltrame, Thomas, Hughson, Richard L.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 18.07.2017
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Summary:The temporal dynamics of the oxygen uptake ([Formula: see text]) during moderate exercise has classically been related to physical fitness and a slower [Formula: see text] dynamics was associated with deterioration of physical health. However, methods that better characterize the aerobic system temporal dynamics remain challenging. The purpose of this study was to develop a new method (named mean normalized gain, ) to systematically characterize the [Formula: see text] temporal dynamics. Eight healthy, young adults (28 ± 6 years old, 175 ± 7 cm and 79 ± 13 kg) performed multiple pseudorandom binary sequence cycling protocols on different days and time of the day. The was calculated as the normalized amplitude of the [Formula: see text] signal in frequency-domain. The was validated considering the time constant τ obtained from time-domain analysis as reference. The intra-subject consistency of the was checked by testing the same participant on different days and times of the day. The and τ were strongly negatively correlated ( = -0.86 and = 0.005). The measured on different days and periods of the day was similar between conditions. Calculations for the have inherent filtering characteristics enhancing reliability for the evaluation of the aerobic system temporal dynamics. In conclusion, the present study successfully validated the use of the for aerobic system analysis and as a potential complementary tool to assess changes in physical fitness.
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This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology
Edited by: Igor B. Mekjavic, JoŽef Stefan Institute, Slovenia
Reviewed by: Pietro Enrico Di Prampero, University of Udine, Italy; Michael Koehle, University of British Columbia, Canada
ISSN:1664-042X
1664-042X
DOI:10.3389/fphys.2017.00504