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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Published in | Frontiers in physiology Vol. 8; p. 504 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
18.07.2017
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Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |