Literature DB >> 2022208

A model for studying the distortion of muscle oxygen uptake patterns by circulation parameters.

D Essfeld1, U Hoffmann, J Stegemann.   

Abstract

The transmission of muscle oxygen uptake (VO2) patterns to the pulmonary site is a basically nonlinear process during unsteady state exercise. We were mainly interested in three questions concerning the dynamic relationship between power input and pulmonary VO2 output: 1. To what extent can linear system analysis be applied? 2. What is the relative influence of muscle VO2 on pulmonary VO2 as compared to other parameters such as muscle perfusion kinetics? 3. To what extent does pulmonary VO2 reflect muscle VO2? Investigations were performed by means of a mathematical model including a muscle compartment and two serial, flow-varying time delays. The non-exercising parts of the body were incorporated as one term for perfusion and one for VO2. Parameters were adjusted so as to represent a reference state of aerobic exercise while monofrequent sinusoidal changes in aerobic metabolism were used as forcing signals. The following answers were derived from the simulations: 1. Non-linear distortions of the VO2 signals are negligible provided that analyses are not driven too far into the higher frequency range (periods shorter than about 1 min). 2. Variations of muscle VO2 kinetics have greater effects on pulmonary VO2 than changes of perfusion kinetics or venous volume. This finding applies irrespective of whether or not pulmonary VO2 closely reflects muscle VO2. 3. Small differences in the time constants for muscle perfusion and muscle VO2 are a major prerequisite if pulmonary VO2 kinetics are to be taken as correct estimates of muscle VO2 kinetics. High basal muscle perfusion, small perfusion changes and small venous volumes between muscle and lungs are further factors reducing dynamic distortions of the muscle VO2 signal.

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Year:  1991        PMID: 2022208     DOI: 10.1007/bf00626761

Source DB:  PubMed          Journal:  Eur J Appl Physiol Occup Physiol        ISSN: 0301-5548


  23 in total

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Journal:  Respir Physiol       Date:  1977-06

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Journal:  J Appl Physiol       Date:  1974-04       Impact factor: 3.531

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Journal:  J Appl Physiol       Date:  1972-05       Impact factor: 3.531

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Journal:  J Appl Physiol       Date:  1970-11       Impact factor: 3.531

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Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1979-10

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Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1982-04

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Journal:  J Appl Physiol       Date:  1966-05       Impact factor: 3.531

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Journal:  Respir Physiol       Date:  1982-10

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  14 in total

1.  Inhibition of nitric oxide synthase by L-NAME speeds phase II pulmonary .VO2 kinetics in the transition to moderate-intensity exercise in man.

Authors:  Andrew M Jones; Daryl P Wilkerson; Katrien Koppo; Sally Wilmshurst; Iain T Campbell
Journal:  J Physiol       Date:  2003-08-01       Impact factor: 5.182

2.  V̇O2 and HR kinetics before and after International Space Station missions.

Authors:  U Hoffmann; A D Moore; J Koschate; U Drescher
Journal:  Eur J Appl Physiol       Date:  2015-12-10       Impact factor: 3.078

3.  Dynamic linearity of VO2 responses during aerobic exercise.

Authors:  U Hoffmann; D Essfeld; H G Wunderlich; J Stegemann
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

4.  Aerobic system analysis based on oxygen uptake and hip acceleration during random over-ground walking activities.

Authors:  Thomas Beltrame; Richard L Hughson
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-11-16       Impact factor: 3.619

5.  Temporal dissociation between muscle and pulmonary oxygen uptake kinetics: influences of perfusion dynamics and arteriovenous oxygen concentration differences in muscles and lungs.

Authors:  U Drescher; J Koschate; L Thieschäfer; S Schneider; U Hoffmann
Journal:  Eur J Appl Physiol       Date:  2018-06-22       Impact factor: 3.078

6.  Prediction of individual oxygen uptake on-step transients from frequency responses.

Authors:  U Hoffmann; D Essfeld; D Leyk; H G Wunderlich; J Stegemann
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

7.  Non-invasive estimation of muscle oxygen uptake kinetics with pseudorandom binary sequence and step exercise responses.

Authors:  Uwe Drescher; R Schmale; J Koschate; L Thieschäfer; T Schiffer; S Schneider; U Hoffmann
Journal:  Eur J Appl Physiol       Date:  2017-12-18       Impact factor: 3.078

8.  Skeletal muscle VO₂ kinetics from cardio-pulmonary measurements: assessing distortions through O₂ transport by means of stochastic work-rate signals and circulatory modelling.

Authors:  U Hoffmann; U Drescher; A P Benson; H B Rossiter; D Essfeld
Journal:  Eur J Appl Physiol       Date:  2013-02-15       Impact factor: 3.078

9.  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

10.  Analysis of cardio-pulmonary and respiratory kinetics in different body positions: impact of venous return on pulmonary measurements.

Authors:  U Drescher; J Koschate; T Schiffer; U Hoffmann
Journal:  Eur J Appl Physiol       Date:  2016-05-14       Impact factor: 3.078

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