Literature DB >> 27856415

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

Thomas Beltrame1,2, Richard L Hughson3.   

Abstract

Deteriorated aerobic response to moderate exercise might precede the manifestation of clinical symptoms of noncommunicable diseases. The purpose of the current study was to verify that the use of current wearable technologies for analysis of pulmonary oxygen uptake (V̇o2) dynamics during a pseudorandom ternary sequence (PRTS) over-ground walking protocol is a suitable procedure for the investigation of the aerobic response in more realistic settings. A wearable accelerometer located at the hip assessed the magnitude of the input changes delivered to the aerobic system. Eight adults (24 ± 4 yr old, 174 ± 7 cm, and 71.4 ± 7.4 kg) performed two identical PRTS over-ground walking protocols. In addition, they performed on the cycle ergometer two identical pseudorandom binary sequence (PRBS) protocols and one incremental protocol for maximal V̇o2 determination. In the frequency domain, mean normalized gain amplitude (MNG in %) quantified V̇o2 dynamics. The MNG during PRTS was correlated (r = -0.80, P = 0.01) with the V̇o2 time constant (τ) obtained during cycling. The MNG estimated during PRBS was similar to the MNG estimated during PRTS (r = 0.80, P = 0.01). The maximal V̇o2 correlated with the MNG obtained during the PRBS (r = 0.79, P = 0.01) and PRTS (r = 0.78, P = 0.02) protocols. In conclusion, PRTS over-ground walking protocol can be used to evaluate the aerobic system dynamics by the simultaneous measurement of V̇o2 and hip acceleration. In addition, the aerobic response dynamics from PRBS and PRTS were correlated to maximal V̇o2 This study has shown that wearable technologies in combination with assessment of MNG, a novel indicator of system dynamics, open new possibilities to monitor cardiorespiratory health under conditions that better simulate activities of daily living than cardiopulmonary exercise testing performed in a medical environment.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  accelerometer; oxygen uptake kinetics; pseudorandom binary sequence; pseudorandom ternary sequence; wearables

Mesh:

Year:  2016        PMID: 27856415      PMCID: PMC5283936          DOI: 10.1152/ajpregu.00381.2016

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  39 in total

1.  Influence of exercise intensity on the on- and off-transient kinetics of pulmonary oxygen uptake in humans.

Authors:  F Ozyener; H B Rossiter; S A Ward; B J Whipp
Journal:  J Physiol       Date:  2001-06-15       Impact factor: 5.182

2.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

3.  Sensorimotor integration in human postural control.

Authors:  R J Peterka
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

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

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Authors:  T J Barstow; N Lamarra; B J Whipp
Journal:  J Appl Physiol (1985)       Date:  1990-03

6.  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

7.  Delayed kinetics of respiratory gas exchange in the transition from prior exercise.

Authors:  R L Hughson; M Morrissey
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1982-04

Review 8.  Oxygen uptake kinetics: historical perspective and future directions.

Authors:  Richard L Hughson
Journal:  Appl Physiol Nutr Metab       Date:  2009-10       Impact factor: 2.665

9.  Relationship between oxygen consumption kinetics and BODE Index in COPD patients.

Authors:  Audrey Borghi-Silva; Thomas Beltrame; Michel Silva Reis; Luciana Maria Malosá Sampaio; Aparecida Maria Catai; Ross Arena; Dirceu Costa
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-10-17

10.  Optimal placement of accelerometers for the detection of everyday activities.

Authors:  Ian Cleland; Basel Kikhia; Chris Nugent; Andrey Boytsov; Josef Hallberg; Kåre Synnes; Sally McClean; Dewar Finlay
Journal:  Sensors (Basel)       Date:  2013-07-17       Impact factor: 3.576

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  4 in total

1.  Light-emitting diode therapy (photobiomodulation) effects on oxygen uptake and cardiac output dynamics during moderate exercise transitions: a randomized, crossover, double-blind, and placebo-controlled study.

Authors:  Thomas Beltrame; Cleber Ferraresi; Nivaldo Antonio Parizotto; Vanderlei Salvador Bagnato; Richard L Hughson
Journal:  Lasers Med Sci       Date:  2018-03-07       Impact factor: 3.161

2.  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

3.  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

4.  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

  4 in total

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