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Automated estimation and analysis of lung function test parameters from spirometric data for respiratory disease diagnostics

Citation

Das, A and Johns, DP and Dutta, R and Walters, HE, Automated estimation and analysis of lung function test parameters from spirometric data for respiratory disease diagnostics, Procedia Computer Science, 29 pp. 2045-2054. ISSN 1877-0509 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Elsevier

DOI: doi:10.1016/j.procs.2014.05.188

Abstract

A spirometer is used for basic lung function test for preliminary diagnosis of respiratory diseases. There are significant amount of calculations and graphical analysis required to transform the raw spirometric data into meaningful parameters. This parameters and graphs help the physicians in preliminary patient diagnosis for respiratory disorders like asthma, chronic obstructive pulmonary disease, etc. This study was undertaken for the development of a software system which can be used with any spirometric instrument to automate the calculations of pulmonary dead space volumes and analysis of raw data. The clinician can feed the raw data from patient testing into the easy to use graphical user interface of the software which will be analyzed instantly and all the parameters, regression slopes, shape analysis plots and the results will be displayed graphically. The estimation of the vital parameters and regression slopes are based on standard protocols and equations. This system will eliminate presently practiced time consuming manual calculations and graphical analysis; will have increased precision, be considerably faster and more versatile.

Item Details

Item Type:Refereed Article
Keywords:spirometry, spirometer, respiratory rate, lung function test, data analysis, respiratory disease diagnostics, dead space volume, regression
Research Division:Medical and Health Sciences
Research Group:Cardiorespiratory Medicine and Haematology
Research Field:Respiratory Diseases
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Respiratory System and Diseases (incl. Asthma)
Author:Das, A (Dr Aruneema Das)
Author:Johns, DP (Associate Professor David Johns)
Author:Walters, HE (Professor Haydn Walters)
ID Code:96663
Year Published:2014
Deposited By:Medicine (Discipline)
Deposited On:2014-11-16
Last Modified:2017-11-01
Downloads:0

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