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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