Literature DB >> 29728765

Open-circuit respirometry: real-time, laboratory-based systems.

Susan A Ward1.   

Abstract

This review explores the conceptual and technological factors integral to the development of laboratory-based, automated real-time open-circuit mixing-chamber and breath-by-breath (B × B) gas-exchange systems, together with considerations of assumptions and limitations. Advances in sensor technology, signal analysis, and digital computation led to the emergence of these technologies in the mid-20th century, at a time when investigators were beginning to recognise the interpretational advantages of nonsteady-state physiological-system interrogation in understanding the aetiology of exercise (in)tolerance in health, sport, and disease. Key milestones include the 'Auchincloss' description of an off-line system to estimate alveolar O2 uptake B × B during exercise. This was followed by the first descriptions of real-time automated O2 uptake and CO2 output B × B measurement by Beaver and colleagues and by Linnarsson and Lindborg, and mixing-chamber measurement by Wilmore and colleagues. Challenges to both approaches soon emerged: e.g., the influence of mixing-chamber washout kinetics on mixed-expired gas concentration determination, and B × B alignment of gas-concentration signals with respired flow. The challenging algorithmic and technical refinements required for gas-exchange estimation at the alveolar level have also been extensively explored. In conclusion, while the technology (both hardware and software) underpinning real-time automated gas-exchange measurement has progressively advanced, there are still concerns regarding accuracy especially under the challenging conditions of changing metabolic rate.

Entities:  

Keywords:  Algorithms; Cardiopulmonary exercise testing; Exercise; Kinetics; Noise; Sensors; Signal analysis

Mesh:

Year:  2018        PMID: 29728765     DOI: 10.1007/s00421-018-3860-9

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  127 in total

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  7 in total

1.  Reply to Garcia-Tabar et al.: Quality control of open-circuit respirometry: real-time, laboratory-based systems. Let us spread "good practice".

Authors:  Susan A Ward
Journal:  Eur J Appl Physiol       Date:  2018-09-20       Impact factor: 3.078

Review 2.  Foundational insights into the estimation of whole-body metabolic rate.

Authors:  Nigel A S Taylor; Roy J Shephard; Michael I Lindinger
Journal:  Eur J Appl Physiol       Date:  2018-02-26       Impact factor: 3.078

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Authors:  Maria Pia Francescato; Mario Canciani; Valentina Cettolo
Journal:  Eur J Appl Physiol       Date:  2020-04-18       Impact factor: 3.078

4.  Quality control of open-circuit respirometry: real-time, laboratory-based systems. Let's spread "good practice".

Authors:  Ibai Garcia-Tabar; Jean P Eclache; José F Aramendi; Esteban M Gorostiaga
Journal:  Eur J Appl Physiol       Date:  2018-09-20       Impact factor: 3.078

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Authors:  Donal Murray; Lisa M K Chin; Rachel E Cowan; Suzanne L Groah; Randall E Keyser
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-01-20

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Authors:  Stefanie Passler; Julian Bohrer; Lukas Blöchinger; Veit Senner
Journal:  Int J Environ Res Public Health       Date:  2019-08-22       Impact factor: 3.390

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Journal:  PLoS One       Date:  2019-12-16       Impact factor: 3.240

  7 in total

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