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Breathing resistance in automated metabolic systems is high in comparison with the Douglas Bag method and previous recommendations
Mid Sweden University, Faculty of Science, Technology and Media, Department of Quality Management and Mechanical Engineering. (Sportstech)
Syddansk Universitet, Odense, Danmark.
Swedish School of Sport and Health Sciences, GIH, Stockholm.
2018 (English)In: Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, ISSN 1754-3371, Vol. 232, no 2, p. 122-130Article in journal (Refereed) Published
Abstract [en]

The purpose of this study was to investigate the resistance (RES) to breathing in metabolic systems used for the distribution and measurement of pulmonary gas exchange. A mechanical lung simulator was used to standardize selected air flow rates ( , L/s). The delta pressure (∆p, Pa) between ambient air and the air inside the equipment was measured in the breathing valve’s mouthpiece adapter for four metabolic systems and four types of breathing valves. RES for the inspiratory and expiratory sides was calculated as RES = ∆p / , Pa/L/s. The results for RES showed significant (p < 0.05) between-group variance among the tested metabolic systems, as well as the breathing valves and between most of the completed . The lowest RES among the metabolic systems was found for a Douglas Bag system, with approximately half of the RES compared to the automated metabolic systems. The automated systems were found to have higher RES already at low  in comparison to previous recommendations. For the hardware components, the highest RES was found for the breathing valves while the lowest RES was found for the hoses. Conclusion: The results showed that RES in metabolic systems can be minimized through conscious choices of system design and hardware components. 

Place, publisher, year, edition, pages
2018. Vol. 232, no 2, p. 122-130
Keywords [en]
Breathing valve, delta pressure, flow meter, hose, mixing chamber, oxygen uptake
National Category
Medical Laboratory Technologies
Identifiers
URN: urn:nbn:se:miun:diva-29508DOI: 10.1177/1754337117715946ISI: 000432622900006Scopus ID: 2-s2.0-85047149312OAI: oai:DiVA.org:miun-29508DiVA, id: diva2:1055218
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2025-02-09Bibliographically approved

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Ainegren, Mats

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
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  • en-US
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