Literature DB >> 15909658

A dynamic morphometric model of the normal lung for studying expiratory flow limitation in mechanical ventilation.

Paolo Barbini1, Chiara Brighenti, Gabriele Cevenini, Gianni Gnudi.   

Abstract

A nonlinear dynamic morphometric model of breathing mechanics during artificial ventilation is described. On the basis of the Weibel symmetrical representation of the tracheo-bronchial tree, the model accurately accounts for the geometrical and mechanical characteristics of the conductive zone and packs the respiratory zone into a viscoelastic Voigt body. The model also accounts for the main mechanisms limiting expiratory flow (wave speed limitation and viscous flow limitation), in order to reproduce satisfactorily, under dynamic conditions, the expiratory flow limitation phenomenon occurring in normal subjects when the difference between alveolar pressure and tracheal pressure (driving pressure) is high. Several expirations characterized by different levels of driving pressure are simulated and expiratory flow limitation is detected by plotting the isovolume pressure-flow curves. The model is used to study the time course of resistance and total cross-sectional area as well as the ratio of fluid velocity to wave speed (speed index), in conductive airway generations. The results highlight that the coupling between dissipative pressure losses and airway compliance leads to onset of expiratory flow limitation in normal lungs when driving pressure is increased significantly by applying a subatmospheric pressure to the outlet of the ventilator expiratory channel; wave speed limitation becomes predominant at still higher driving pressures.

Mesh:

Year:  2005        PMID: 15909658     DOI: 10.1007/s10439-005-2511-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  5 in total

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2.  A Bidirectional Coupling Procedure Applied to Multiscale Respiratory Modeling.

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3.  A computational fluid dynamics study of inspiratory flow in orotracheal geometries.

Authors:  T P Collins; G R Tabor; P G Young
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5.  Automatic Detection of the Cyclic Alternating Pattern of Sleep and Diagnosis of Sleep-Related Pathologies Based on Cardiopulmonary Resonance Indices.

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Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

  5 in total

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