Gymnastik- och idrottshögskolan, GIH

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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.
University of Southern Denmark.
Swedish School of Sport and Health Sciences, GIH, Department of Sport and Health Sciences, Laboratory for Biomechanics and Motor Control.ORCID iD: 0000-0001-8161-5610
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 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 (V·, L/s). The delta pressure (?p, Pa) between the 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. Resistance for the inspiratory and expiratory sides was calculated as RES?=?(?p/V·)?Pa/L/s. The results for resistance showed significant (p?<?0.05) between-group variance among the tested metabolic systems, breathing valves, and between most of the completed V·. The lowest resistance among the metabolic systems was found for a Douglas Bag system which had approximately half of the resistance compared to the automated metabolic systems. The automated systems were found to have higher resistance even at low V· in comparison with previous findings and recommendations. For the hardware components, the highest resistance was found for the breathing valves, while the lowest resistance was found for the hoses. The results showed that resistance in metabolic systems can be minimized through conscious choices of system design and hardware components.

Place, publisher, year, edition, pages
SAGE Publications , 2018. Vol. 232, no 2, p. 122-130
National Category
Sport and Fitness Sciences
Research subject
Medicine/Technology
Identifiers
URN: urn:nbn:se:gih:diva-4994DOI: 10.1177/1754337117715946ISI: 000432622900006OAI: oai:DiVA.org:gih-4994DiVA, id: diva2:1136865
Available from: 2017-08-29 Created: 2017-08-29 Last updated: 2018-06-07Bibliographically approved

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