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International Work-Conference on Artificial Neural Networks

IWANN 1997: Biological and Artificial Computation: From Neuroscience to Technology pp 942–951Cite as

Classification of the onset of respiratory difficulties in ventilation assisted neonates

  • Methodology for Data Analysis, Task Selection and Nets Design
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

Abstract

Intensive care units are designed to sustain the lives of the people being treated within them. However, often treatment decisions are made on a second by second basis and warning signs for other developing problems are missed. This paper describes a system which uses a multi-layer perceptron network to detect the deterioration in respiratory function of neonates who require artificial ventilation. It presents some results from the system and discusses the implications of using such a system in its current form.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of Edinburgh, Mayfield Road, EH9 3JL, Edinburgh

    Emma Braithwaite, Jimmy Dripps, Andrew Lyon & Alan F. Murray

  2. Dept of Child Life and Health, Edinburgh Royal Infirmary, UK

    Andrew Lyon

Authors
  1. Emma Braithwaite
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  2. Jimmy Dripps
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  3. Andrew Lyon
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  4. Alan F. Murray
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Braithwaite, E., Dripps, J., Lyon, A., Murray, A.F. (1997). Classification of the onset of respiratory difficulties in ventilation assisted neonates. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032554

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  • DOI: https://doi.org/10.1007/BFb0032554

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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