Closed-loop control of depth of anaesthesia

Measurement and Control

Volumn 29, Issue 7, 1996, Pages 211-215

  Webb, Andrew ^a   Allen, Robert ^a   Smith, David ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANESTHETICS; BIOELECTRIC POTENTIALS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEEDBACK CONTROL; FUZZY CONTROL; FUZZY SETS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PATTERN RECOGNITION; SURGERY;

ANAESTHESIA; DIGITAL SIGNAL PROCESSOR; FUZZY LOGIC CONTROLLERS; STUTTGART NEURAL NETWORK SIMULATOR;

CLOSED LOOP CONTROL SYSTEMS;

EID: 0030233814     PISSN: 00202940     EISSN: None     Source Type: Journal    
DOI: 10.1177/002029409602900706     Document Type: Article

References (32)

1. Pilkinton, S.N., Hett, D.A., Pierce, J.M.T. & Smith, D.C. (1995) Auditory evoked responses and near infrared spectroscopy during cardiac arrest, Brit Jour Anaes, 74, 717-719.
2. Hett, D.A., Smith, D.C., Pilkington, S.N., & Abbott, T.R. (1995) Effect of temperature and cardiopulmonary bypass on the auditory evoked response, Brit Jour Anaes, 75, 293-296.
3. O'Kelly, S.W., Smith, D.C., & Pilkington, S.N. (1995) The auditory evoked potential and paediatric anaesthesia, Brit Jour Anaes, 75, 428-430.
4. Auditory Evoked Response Program AVG Version 1.3 Users Manual. (1994) Northwick Park Hospital.
5. Carling,A. (1992) Introducing Neural Networks, Sigma Press.
6. Beale, R. & Jackson,T. (1990)Neural Computing: An Introduction, IOP Publishing.
7. Minsky, M., & Papert, S. (1969) Perceptions: An Introduction to Computational Geometry, The MIT Press.
8. University of Stuttgart Institute for Parallel and Distributed High Performance Systems, Stuttgart Neural Network Simulator, http:// www.informatik.uni-stuttgart.de/ipvr/ bv/projekte/snns/snns.html, 1996.
9. van Hooff, J.C., de Beer, N.A.M., Brunia, C.H.M., Cluimans, P.J.M., Korsten, H.H.M., Tavilla, G., & Grouls, R. (1995) Information processing during cardiac surgery: an event related potential study, Electroencephalography and Clinical Neurophysiology, 96, 422-452.
10. Jordan, C., Weller, C., Thorton, C., & Newton, D.E.F. (1995) Monitoring evoked potentials during surgery to assess the level of anaesthesia,Jour Med Eng & Tech, 19, 77-79.
11. Zadeh, L.A. (1965) Fuzzy sets, Information and Control, 8, 338-353.
12. Kosko, B., & Isaka, S. (1993) Fuzzy logic. Scientific American July, 62-67.
13. Linkens, D.A., & Abbod, M.F. (1992) Self-organising fuzzy logic control and the selection of its scaling factors, Trans InstMC, 14, 114-125.
14. Daley, S., & Gill, K.F. (1986) A design study of a self-organizing fuzzy logic controller, Proc Instn Mech Engrs, 200, 59-69.
15. Ying, H., & Sheppard, L.C. (1994) Regulating mean arterial pressure in postsurgical cardiac patients: a fuzzy logic system to control administration of sodium nitroprusside, IEEE Eng Med Biol, Nov, 671-677.
16. Linkens, D.A., Shieh, J.S., & Peacock, J.E. Machine-learning rulebased fuzzy logic control for depth of anaesthesia, IEE Control '94: 31-36.
17. O'Hara, D.A., Bogen, O.K., & Noordergraaf, A. (1992) The use of computers for controlling the delivery of anesthesia, Anesthesiology, 77, 563-581.
18. Meier, R., Nieuwland, J., Zbinden, A.M., & Hacisalihzade, S.S. (1992) Fuzzy logic control of blood pressure during anesthesia, IEEE Cont Sys Mag, Dec, 12-17.
19. Mason, D.G., Linkens, D.A., Abbod, M.F., Edwards, N.D., & Reilly, C.S. (1994) Automated delivery of muscle relaxants using fuzzy logic control, IEEE Eng Med Biol, Nov, 678-686.
20. Hudson, D.L., & Cohen, M.E. (1994) Fuzzy logic in medical expert systems, IEEE Eng Med Biol, Nov, 693-698.
21. Linkens, D.A. (1992) Adaptive and intelligent control in anesthesia, IEEE Cont Sys Mag, Dec, 6-11.
22. Isaka, S., & Sebald, A.V. (1993) Control strategies for arterial blood pressure regulation, IEEE Trans Biomed Eng, 40, 353-363.
23. Asbury, A.J., & Tzabar, Y. (1995) Fuzzy logic: new ways of thinking for anaesthesia, Brit Jour Anaes, 75, 1-2.
24. Chilcoat, R.T. (1980) A review of the control of depth of anaesthesia. Trans InstMC, 2, 38-45.
25. Held, C.M., & Roy, R.J. (1995) Multiple drug hemodynamic control by means of a supervisory-fuzzy rule-based adaptive control system: validation on a model, IEEE Trans Biomed Eng 42, 371-385.
26. Zbinden, A.M., Feigenwinter, P., Petersen-Felix, S., & Hacisalihzade, S. (1995) Arterial pressure control with isoflurane using fuzzy logic, Brit Jour Anaes, 74, 66-72.
27. Mahfouf, M., & Abbod, M.F. (1994) A comparitive study of generalized predictive control (GPC) and intelligent self-organizing fuzzy logic control (SOFLC) for multivariable anaesthesia, Intelligent Control In Biomedicine, Taylor & Francis, 79-132.
28. ed. Linkens, D.A. (1994) Intelligent Control in Biomedicine, Taylor & Francis.
29. Kantrowitz, M., Horstkotte, E., & Joslyn, C. (1995) Answers to frequently asked questions about fuzzy logic and fuzzy expert systems, comp.ai.fuzzy, March, ftp.cs.cmu.edu:/user/ai/pubs/ faqs/fuzzy/fuzzy.faq mkant+fuzzyfaq@cs.cmu.edu
30. Kosko, B. (1993) Fuzzy Thinking: The New Science Of Fuzzy Logic, Warner.
31. Goebel, G. (1995) An Introduction to Fuzzy Logic Systems, camp.ai.fuzzy, Dec. gvg@lvld.hp.com
32. University of Stuttgart Institute for Parallel and Distributed High Performance Systems, SNNS Users' Manual, http://www.informatik.unistuttgart.de, 1995.