Visualisation and categorisation of respiratory mechanism using self organising maps

IEE Proceedings: Science, Measurement and Technology

Volumn 147, Issue 6, 2000, Pages 339-344

  Steuer, M ^a   Caleb, P ^b   Drummond, G B ^c   Black, A M S ^a  

^a UNIVERSITY OF THE WEST OF ENGLAND   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c BRISTOL ROYAL INFIRMARY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BREATH CONTROLLED DEVICES; MEDICAL APPLICATIONS; MEDICAL COMPUTING; SELF ORGANIZING MAPS;

MORPHINE;

RESPIRATORY MECHANICS;

EID: 0034314165     PISSN: 13502344     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-smt:20000856     Document Type: Article

References (4)

1. NIMMO, A.F., and DRUMMOND, G.B.: 'Respiratory mechanics after abdominal surgery measured with continuous analysis of pressure flow and volume signals', Br. J. Anaesth., 1996, 77, pp. 317-326
2. STEUER, M., CALEB, P., SHARPE, P.K., DRUMMOND, G.B., and BLACK, A.M.S.: 'Graphical analysis of respiration in postoperative patients using self organising maps'. Proceedings of ANNIMAB I: Perspectives in Neural Computing, 2000, pp. 149-154
3. KOHONEN. T., HYNNINEN, J., KANGAS, J., and LAAKSONEN, J.: 'SOM_PAK: The self-organizing map program package'. Helsinki University of Technology, Laboratory of Computer and Information Science; Report A31, 1996. Available at httpi/Avww.cis.hut.fi/nnrc
4. ULTSCH, A.: 'Self-organizing neural networks for visualisation and classification'. Report, Department of Computer Science, University of Dortmund, P.O. Box 500, D-4600 Dortmund 50, Germany