The influence of airway resistance in the dynamic elastance model

Bernhard Laufer, J. Kretschmer, P. D. Docherty, Y. S. Chiew, K. Möller

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    1 Citation (Scopus)


    The selection of optimal positive end-expiratory pressure (PEEP) levels during ventilation therapy of patients with ARDS (acute respiratory distress syndrome) remains a problem for clinicians. A particular mooted strategy states that minimizing the energy transferred to the lung during mechanical ventilation could potentially be used to determine the optimal, patient-specific PEEP levels. The dynamic elastance model of pulmonary mechanics could potentially be used to minimize the energy by localization of the patients’ minimum dynamic elastance range. The sensitivity of the dynamic elastance model to variance in the airway resistance was analyzed. Subsequently, the airway resistance was determined using two alternate identification methods and was compared to the constant resistance obtained using the dynamic elastance model. Both identification methods showed similar decreasing trends of the resistance during inspiration. This declining trend is an apparent exponential decrease. Results showed that the constant airway resistance, presumed by the dynamic elastance model, has to be rechecked and investigated.

    Original languageEnglish
    Title of host publicationXIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
    EditorsEfthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis
    Number of pages6
    ISBN (Print)9783319327013
    Publication statusPublished - 2016
    EventMediterranean Conference on Medical and Biological Engineering and Computing 2016 - Paphos, Cyprus
    Duration: 31 Mar 20162 Apr 2016
    Conference number: 14th (Proceedings)

    Publication series

    NameIFMBE Proceedings
    ISSN (Print)1680-0737


    ConferenceMediterranean Conference on Medical and Biological Engineering and Computing 2016
    Abbreviated titleMEDICON 2016
    Internet address


    • First order model
    • Lung Mechanics
    • Mechanical Ventilation
    • Physiological Modelling

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