Literature DB >> 1555560

Dynamic linearity of VO2 responses during aerobic exercise.

U Hoffmann1, D Essfeld, H G Wunderlich, J Stegemann.   

Abstract

The multifrequent pseudorandom binary sequence (PRBS) technique is a useful tool for studying oxygen uptake (VO2) kinetics within the aerobic range. However, the validity of this multifrequent test may be limited by nonlinearities generated by the circulatory and pulmonary system. To check for such nonlinear effects, we compared the frequency responses computed from two PRBS protocols with the results of pure sinusoidal frequencies varying in amplitude and mean values (periods between 50 s and 450 s). According to our results the VO2 frequency response does not seem to depend on the type of testing--PRBS or sine--or the changes within each test, i.e. mean power and power amplitude of the sine tests and the switching frequency of the PRBS. In the range of higher frequencies small differences between the test conditions may have been obscured by the greater scatter of dynamic responses. It was concluded that the VO2 frequency response was quasi-linear for periods down to the least 100 s. However, even in this range nonlinearities can be provoked by rest-exercise transitions, by a varying contribution of lactate or by an insufficient noise reduction.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1555560     DOI: 10.1007/bf00717951

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


  11 in total

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

Authors:  D Essfeld; U Hoffmann; J Stegemann
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1991

2.  Min-by-min respiratory exchange and oxygen uptake kinetics during steady-state exercise in subjects of high and low max VO2.

Authors:  A Weltman; V Katch
Journal:  Res Q       Date:  1976-10

3.  Investigation of VO2 kinetics in humans with pseudorandom binary sequence work rate change.

Authors:  R L Hughson; D A Winter; A E Patla; G D Swanson; L A Cuervo
Journal:  J Appl Physiol (1985)       Date:  1990-02

4.  Oxygen uptake kinetics for various intensities of constant-load work.

Authors:  B J Whipp; K Wasserman
Journal:  J Appl Physiol       Date:  1972-09       Impact factor: 3.531

5.  Effects of specific muscle training on VO2 on-response and early blood lactate.

Authors:  P Cerretelli; D Pendergast; W C Paganelli; D W Rennie
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1979-10

6.  Ventilatory and gas exchange dynamics in response to sinusoidal work.

Authors:  R Casaburi; B J Whipp; K Wasserman; W L Beaver; S N Koyal
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1977-02

7.  Faster adjustment of O2 uptake to the energy requirement of exercise in the trained state.

Authors:  R C Hickson; H A Bomze; J O Hollozy
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1978-06

8.  Oxygen uptake kinetics in trained athletes differing in VO2max.

Authors:  S K Powers; S Dodd; R E Beadle
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1985

9.  Faster adjustment to and recovery from submaximal exercise in the trained state.

Authors:  J M Hagberg; R C Hickson; A A Ehsani; J O Holloszy
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1980-02

10.  Dynamics of ventilation, heart rate, and gas exchange: sinusoidal and impulse work loads in man.

Authors:  H K Bakker; R S Struikenkamp; G A De Vries
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1980-02
View more
  5 in total

1.  Frequency response method in pharmacokinetics.

Authors:  L Dedík; M Durisová
Journal:  J Pharmacokinet Biopharm       Date:  1994-08

2.  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

3.  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

4.  Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living.

Authors:  T Beltrame; R Amelard; A Wong; R L Hughson
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.