Literature DB >> 28240387

Linear and non-linear contributions to oxygen transport and utilization during moderate random exercise in humans.

T Beltrame1,2, R L Hughson1,3.   

Abstract

NEW
FINDINGS: What is the central question of this study? The pulmonary oxygen uptake (pV̇O2) data used to study the muscle aerobic system dynamics during moderate-exercise transitions is classically described as a mono-exponential function controlled by a complex interaction of the oxygen delivery-utilization balance. This elevated complexity complicates the acquisition of relevant information regarding aerobic system dynamics based on pV̇O2 data during a varying exercise stimulus. What is the main finding and its importance? The elevated complexity of pV̇O2 dynamics is a consequence of a multiple-order interaction between muscle oxygen uptake and circulatory distortion. Our findings challenge the use of a first-order function to study the influences of the oxygen delivery-utilization balance over the pV̇O2 dynamics. The assumption of aerobic system linearity implies that the pulmonary oxygen uptake (pV̇O2) dynamics during exercise transitions present a first-order characteristic. The main objective of this study was to test the linearity of the oxygen delivery-utilization balance during random moderate exercise. The cardiac output (Q̇) and deoxygenated haemoglobin concentration ([HHb]) were measured to infer the central and local O2 availability, respectively. Thirteen healthy men performed two consecutive pseudorandom binary sequence cycling exercises followed by an incremental protocol. The system input and the outputs pV̇O2, [HHb] and Q̇ were submitted to frequency-domain analysis. The linearity of the variables was tested by computing the ability of the response at a specific frequency to predict the response at another frequency. The predictability levels were assessed by the coefficient of determination. In a first-order system, a participant who presents faster dynamics at a specific frequency should also present faster dynamics at any other frequency. All experimentally obtained variables (pV̇O2, [HHb] and Q̇) presented a certainly degree of non-linearity. The local O2 availability, evaluated by the ratio pV̇O2/[HHb], presented the most irregular behaviour. The overall [HHb] kinetics were faster than pV̇O2 and Q̇ kinetics. In conclusion, the oxygen delivery-utilization balance behaved as a non-linear phenomenon. Therefore, the elevated complexity of the pulmonary oxygen uptake dynamics is governed by a complex multiple-order interaction between the oxygen delivery and utilization systems.
© 2017 The Authors. Experimental Physiology © 2017 The Physiological Society.

Entities:  

Keywords:  NIRS; aerobic system linearity; oxygen uptake kinetics

Mesh:

Substances:

Year:  2017        PMID: 28240387     DOI: 10.1113/EP086145

Source DB:  PubMed          Journal:  Exp Physiol        ISSN: 0958-0670            Impact factor:   2.969


  3 in total

1.  Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models.

Authors:  Thomas Beltrame; Robert Amelard; Alexander Wong; Richard L Hughson
Journal:  J Appl Physiol (1985)       Date:  2017-06-08

2.  Estimating an individual's oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study.

Authors:  Andrea Zignoli; Alessandro Fornasiero; Matteo Ragni; Barbara Pellegrini; Federico Schena; Francesco Biral; Paul B Laursen
Journal:  PLoS One       Date:  2020-03-12       Impact factor: 3.240

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

Authors:  Thomas Beltrame; Richard L Hughson
Journal:  Front Physiol       Date:  2017-07-18       Impact factor: 4.566

  3 in total

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