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Intra-breath changes in respiratory mechanics assessed from multi-frequency oscillometry measurements.
Makan, Gergely; Dandurand, Ronald J; Gingl, Zoltán; Hantos, Zoltán.
Afiliación
  • Makan G; Department of Technical Informatics, University of Szeged, Szeged, Hungary.
  • Dandurand RJ; Lakeshore General Hospital, Pointe-Claire, QC, Canada.
  • Gingl Z; Oscillometry Unit of the Centre for Innovative Medicine, and the Meakins-Christie Laboratories, McGill University Health Centre and Research Institute, and McGill University, Montreal, QC, Canada.
  • Hantos Z; Department of Technical Informatics, University of Szeged, Szeged, Hungary.
Physiol Meas ; 43(4)2022 04 28.
Article en En | MEDLINE | ID: mdl-35263717
Objective. Recent studies in respiratory system impedance (Zrs) with single-frequency oscillometry have demonstrated the utility of novel intra-breath measures of Zrs in the detection of pathological alterations in respiratory mechanics. In the present work, we addressed the feasibility of extracting intra-breath information from Zrs data sets obtained with conventional oscillometry.Approach. Multi-frequency recordings obtained in a pulmonology practice were re-analysed to track the 11 Hz component of Zrs during normal breathing and compare the intra-breath measures to that obtained with a single 10 Hz signal in the same subjects. A nonlinear model was employed to simulate changes in Zrs in the breathing cycle. The values of resistance (R) and reactance (X) at end expiration and end inspiration and their corresponding differences (ΔRand ΔX) were compared.Main results. All intra-breath measures exhibited similar mean values at 10 and 11 Hz in each subject; however, the variabilities were higher at 11 Hz, especially for ΔRand ΔX. The poorer quality of the 11 Hz data was primarily caused by the overlapping of modulation side lobes of adjacent oscillation frequencies. This cross-talk was enhanced by double breathing frequency components due to flow nonlinearities.Significance. Retrospective intra-breath assessment of large or special data bases of conventional oscillometry can be performed to better characterise respiratory mechanics in different populations and disease groups. The results also have implications in the optimum design of multiple-frequency oscillometry (avoidance of densely spaced frequencies) and the use of filtering procedures that preserve the intra-breath modulation information.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistema Respiratorio / Mecánica Respiratoria Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Physiol Meas Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistema Respiratorio / Mecánica Respiratoria Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Physiol Meas Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Reino Unido