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A decision support system for lung function diagnosis in infants

Leonhardt, Steffen ; Ahrens, P. ; Hofmann, Dietrich ; Isermann, Rolf (1997)
A decision support system for lung function diagnosis in infants.
In: Control Engineering Practice, 5 (10)
doi: 10.1016/S0967-0661(97)00132-9
Article, Bibliographie

Abstract

This paper describes an automatic medical decision support system for lung function diagnosis in infants. The method is based on tidal breathing flow volume loops and air flow resistance measurements, obtained noninvasively from sedated infants. In order to obtain a diagnosis from these signals, a neural network classification algorithm has been implemented for pattern recognition purposes. At the moment, the system allows the classification of about 70% of the breaths, with a failure rate of 15% and 15% rejections.

Item Type: Article
Erschienen: 1997
Creators: Leonhardt, Steffen ; Ahrens, P. ; Hofmann, Dietrich ; Isermann, Rolf
Type of entry: Bibliographie
Title: A decision support system for lung function diagnosis in infants
Language: English
Date: 1 October 1997
Publisher: Elsevier
Journal or Publication Title: Control Engineering Practice
Volume of the journal: 5
Issue Number: 10
DOI: 10.1016/S0967-0661(97)00132-9
Abstract:

This paper describes an automatic medical decision support system for lung function diagnosis in infants. The method is based on tidal breathing flow volume loops and air flow resistance measurements, obtained noninvasively from sedated infants. In order to obtain a diagnosis from these signals, a neural network classification algorithm has been implemented for pattern recognition purposes. At the moment, the system allows the classification of about 70% of the breaths, with a failure rate of 15% and 15% rejections.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Regelungstechnik und Prozessautomatisierung
Date Deposited: 19 Nov 2008 16:04
Last Modified: 05 Jun 2023 09:00
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