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Sources of breathing pattern variability in the respiratory feedback control loop
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
University of Vermont, USA.
2019 (English)In: Journal of Theoretical Biology, ISSN 0022-5193, E-ISSN 1095-8541, Vol. 469, p. 148-162Article in journal (Refereed) Published
Abstract [en]

The variability of the breath-to-breath breathing pattern, and its alterations in disease, may hold information of physiologic and/or diagnostic value. We hypothesized that this variability arises from the way that noise is processed within the respiratory feedback control loop, and that pathologic alterations to specific components within the system give rise to characteristic alterations in breathing pattern variability. We explored this hypothesis using a computational model of the respiratory control system that integrates mechanical factors, gas exchange processes, and chemoreceptor signals to simulate breathing patterns subject to the influences of random variability in each of the system components. We found that the greatest changes in the coefficient of variation (CV) of both breathing amplitude and timing were caused by increases in lung resistance and impairments in gas exchange, both common features of pulmonary disease. This suggests that breathing pattern variability may reflect discernible deterministic processes involved in the control of breathing. © 2019 Elsevier Ltd

Place, publisher, year, edition, pages
Academic Press, 2019. Vol. 469, p. 148-162
Keywords [en]
Breathing variability, Neurochemical feedback loop, Respiratory control system
National Category
Signal Processing Respiratory Medicine and Allergy
Identifiers
URN: urn:nbn:se:bth-17735DOI: 10.1016/j.jtbi.2019.03.001ISI: 000464487600013Scopus ID: 2-s2.0-85062507391OAI: oai:DiVA.org:bth-17735DiVA, id: diva2:1297938
Available from: 2019-03-21 Created: 2019-03-21 Last updated: 2019-05-03Bibliographically approved

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Jaworski, Jacek

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