NDLI: Modeling Human Respiratory Impedance in Hispanic Asthmatic Children

Content Provider	IEEE Xplore Digital Library
Author	Meraz, E. Nazeran, H. Diong, B. Menendez, R. Ortiz, G. Goldman, M.
Copyright Year	2007
Description	Author affiliation: Allergy & Asthma Center, El Paso (Menendez, R.; Ortiz, G.) \|\| Univ. of California Los Angeles, Los Angeles (Goldman, M.) \|\| Texas Christian Univ., Fort Worth (Diong, B.) \|\| Univ. of Texas El Paso, El Paso (Meraz, E.; Nazeran, H.)
Abstract	Central (large airway) and peripheral (small airway) dysfunction frequently occur in patients with asthma and chronic obstructive lung disease. Measurement of the respiratory impedance can assist with diagnosis of pathological conditions. The forced oscillation technique (FOT) superimposes small pressure perturbations at the mouth during tidal breathing of a subject to measure lung mechanical parameters. The impulse oscillometry system (IOS) is a commercial instrument that measures forced oscillatory impedance. IOS can be conveniently used in children as it only requires their passive cooperation during pulmonary function testing. Forced oscillatory impedance can be analyzed with respiratory system equivalent electrical circuit models. Models of varying complexity and fidelity have been developed to provide better understanding of respiratory mechanics and enable greater specificity of the diagnosis. Parameter estimates for these models can be used as reference values for detection and diagnosis of different respiratory pathologies. Previous work by our group has evaluated several known respiratory models and a new RIC model (augmented RIC) has emerged which offers advantages over earlier models. It has been shown that one parameter of this new model (representing peripheral airway compliance) is capable of discriminating between normal and asthmatic children. In this paper, we analyzed IOS data from 40 Hispanic asthmatic children and obtained sensitive impulse oscillometric parameters of lung function as well as parameter estimates for the augmented RIC (aRIC) model to distinguish between constricted (asthmatic condition) and non-constricted (non- asthmatic condition) airways with very promising results. Further work is underway to apply this model to IOS data acquired from Hispanic/asthmatic and non-asthmatic as well as Anglo/asthmatic and non-asthmatic children in the age range of 5-17 years to quantitatively characterize and then compare lung function between these groups.
Starting Page	4251
Ending Page	4254
File Size	281745
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Lungs Impedance measurement Pathology Force measurement Parameter estimation Pediatrics Diseases Mouth Mechanical variables measurement impulse oscillometry Human respiratory impedance respiratory system models asthma children 2-5 years Hispanic
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Can Asthma in Children be Detected by the Estimated Parameter Values of the Augmented RIC Model ?

A study of IOS data using the aRIC+Ip model of respiratory impedance

Impulse oscillometric features of lung function: Towards computer-aided classification of respiratory diseases in children

Evaluation of augmented RIC model of child respiratory impedance based on impulse oscillometry data

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Circuit analysis justifies a reduced Mead's model of the human respiratory impedance for impulse oscillometry data

A comparison of linear respiratory system models based on parameter estimates from PRN forced oscillation data

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Modeling Human Respiratory Impedance in Hispanic Asthmatic Children

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