Literature DB >> 7670692

Maximum expiratory flow-volume curve: mathematical model and experimental results.

S Abboud1, O Barnea, A Guber, N Narkiss, I Bruderman.   

Abstract

A mathematical simulation of the maximum expiratory flow-volume (MEFV) curve was developed using a lumped parameter model. The model uses a theoretical approximation of an activation function representing the lung's pressure-volume relationship during maximally forced expiration. The waveforms obtained by the model were compared to the flow-volume curves recorded from normal subjects and for patients with small airways disease, asthma, and emphysema. We were able to reproduce the flow-volume curves using the model and calculate new parameters that reflect the dependency of airways resistance on expired volume during FVS manoeuvre. These new parameters are based on the entire information presented in the flow-volume curve and on the reduction in flow at all lung volumes. We also calculated the mean slope of the resistance-expired volume curves obtained from the model by fitting a straight line to the curve. Using representative data for normal and COPD patients different mean slopes of 0.095, 0.13, 0.49 and 1.44 litre-1 were obtained for normal subject, small airways disease, asthma and emphysema patients, respectively. The model-based parameters may be applicable to human studies. However, further studies in large groups of patients are required to better define the true predictive value of the new indices described for the diagnosis of COPD.

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Year:  1995        PMID: 7670692     DOI: 10.1016/1350-4533(95)97312-d

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Model-based prediction of expiratory resistance index in patients with asthma.

Authors:  Ofer Barnea; Shimon Abboud; Alexander Guber; Israel Bruderman
Journal:  J Clin Monit Comput       Date:  2004-08       Impact factor: 2.502

2.  Detection of obstructive respiratory abnormality using flow-volume spirometry and radial basis function neural networks.

Authors:  Mahesh Veezhinathan; Swaminathan Ramakrishnan
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

3.  Simulation of Forced Expiration in a Biophysical Model, With Homogeneous and Clustered Bronchoconstriction.

Authors:  Kerry L Hedges; Merryn H Tawhai
Journal:  J Biomech Eng       Date:  2016-06       Impact factor: 2.097

  3 in total

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