Abstract
The measure went of anaesthetic depth during surgical anaesthesia has always been an inexact science where the experience of the anaesthetist is called upon to provide the control of drug administration. The anaesthetist has to maintain the patient at a suitable level of sedation by carefully controlling several anaesthetic drugs so that the surgical procedure can proceed without causing awareness in the patient. There have been many publications on the subject that have shed much light on the subject and which has as a result improved the control of anaesthetic depth.
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References
Babuška, R., and Verbruggen, H.B. (1996). “An overview of fuzzy modelling for control,” Control Engineering Practice, 4(11), 1593–606.
Bersini, H., and Bontempi, G. (1997). “Now comes the time to defuzzify neuro-fuzzy models”, Fuzzy Sets and Syst., 90, 161–169.
Bezdek, J.C., and Adderson, I.M. (1985). “An application of the c-varieties clustering algorithms to polygonal curve fitting,” IEEE Transactions on Systems man and Cybernetics, 15(5), 637–41.
Bishop, C.M. (1995). Neural Networks for Pattern Recognition, Oxford University Press, New York
Chen, G., Pham, T.T., and Weiss, J.J. (1995). “Fuzzy modelling of control systems,” IEEE Transactions on Aerospace and Electronic Systems, 31(1), 414–428.
Daubechies, I. (1988). “Orthonormal bases of compactly supported wavelets,” Communications on Pure and Applied Mathematics, 41, 909–96.
Dio, M., Gajarj, R.J., Mantzaridis, H., and Kenny, G.N. (1997). “Relationship between calculated blood concentration of propofol and electrophysiological varialbs during emergence from anaesthesia: comparison of bispectral index, spectral edge frequency, median frequency and auditory evoked potential index,” British Journal of Anaesthesia, 78(2), 180–184.
Dio, M., Gajarj, R.J., Mantzaridis, H., and Kenny, G.N. (1999). “Prediction of movement at laryngeal mask airway insertion: comparison of auditory evoked potential index, bispectral index, spectral edge frequency and median frequency,” British Journal of Anaesthesia, 82(2), 203–207.
Elkfafi, M. (1995). “Intelligent signal processing in anaesthesia,” PhD Thesis, University of Sheffield, Sheffield.
Gajarj, R.J., Dio, M., Mantzaridis, H., and Kenny, G.N. (1998). “Analysis of the EEG bispectrm, auditory evoked potentials and the EEG power spectrum during repeated transitions from consciousness to unconsciousness,” British Journal of Anaesthesia, 80(1), 46–52.
Glass, P.S., Goodman, D.K., Ginsberg, B., Reeves, J.G., and Jacobs, J.R. (1989). “Accuracy of pharmacokinetic model-driven infusion of propofol,” Anesthesiology, 71(3A), A277.
Glass, P.S.A., Jacobs, J.R., Smith, L.R., Ginsberg, B., Quill, T.J., Bai, S.A., and Reves, J.G. (1990). “Pharmacokinetic model-driven infusion of fentanyl: assessment of accuracy,” Anesthesiology, 73, 1082–1090.
Isermann, R. (1997). “Special Issue: Application of neuro-fuzzy systems — Preface,” Fuzzy Sets and Systems, 89(3), 275.
Linkens, D.A., Shieh, J.S., and Peacock, J.E. (1994). “Machine-learning rulebased fuzzy logic control for depth of anaesthesia,” Proc. of the IEE Int. Conf. on Control ’94, Coventry, 31–36
Linkens, D.A., Abbod, M.F., and Backory, J. (1996a). “Fuzzy logic control of depth of anaesthesia using auditory evoked responses”, IEE Colloquium, Fuzzy Logic Controllers in Practice, London, 4/1–4/6
Linkens, D.A., Elkfafi, M., and Peacock, J.E. (1996b). “Intelligent processing of evoked potentials for monitoring depth of anaesthesia,” 16th International Symposium on Computing in Anaesthesia and Intensive Care, Rotterdam, The Netherlands.
Mortier, E., Struys, M., De-Smet, T., Versichelen, L., and Rolly, G. (1998). “Closed-loop controlled administration of propofol using bispectral analysis,” Anaesthesia, 53(8), 749–754.
Nayak, A., and Roy, R.J. (1998). “Anaesthesia control using midlatency auditory evoked potentials,” IEEE Transactions on Biomedical Engineering, 45(4), 409–21.
Samar, V.J., Swartz K.P., and Raghuveer, M.R. (1995). “Multiresolution analysis of event-related potentials by wavelet decomposition”, Brain and Cognition, 27, 398–438.
Schwender, D., Rimkus, T., Haessler, R., Klasing, S., Pöppel, E., and Peter, K. (1993). “Effects of increasing doses of alfentanil, fentanyl and morphine on mid-latency auditory evoked potentials,” British Journal of Anaesthesia, 71(5), 622–628.
Schwender, D., Golling, W., Klasing, S., Faber-Züllig, E., Pöppel, E., and Peter, K. (1994a). “Effects of surgical stimulation on midlatency auditory evoked potentials during general anaesthesia with propofol/fentanyl, isoflurane/fentanyl and flunitrazepam/fentanyl”, Anaesthesia, 49, 572–578.
Schwender, D., Faber-Züllig, E., Klasing, S., Pöppel, E., and Peter, K. (1994b). “Motor signs of wakefulness during general anaesthesia with propofol, isoflurane and flunitrazepam/fentanyl and midlatency auditory evoked potentials,” Anaesthesia, 49(6), 476–84.
Shafer, S.L., Siegel, L.C., Cooke, J.E., and Scott, J.C. (1988b). “Testing computer-controlled infusion pumps by simulation,” Anesthesiology, 68, 261–266.
Sharma, A., Griffith, R.L., and Roy, R.J. (1993). “An adaptive controller for the administration of closed-circuit anaesthesia during spontaneous and assisted ventilation,” Journal of Clinical Monitoring, 9, 25–30.
Shieh, J.S. (1994). “Hierarchical fuzzy logic monitoring and control in anaesthesia,” PhD Thesis, University of Sheffield, Sheffield.
Smith, W.D., Dutton, R.C., and Smith, N.T. (1996). “Measuring the performance of anaesthetic depth indicators,” Anesthesiology, 84(1), 38–51.
Takagi, T., and Sugeno, M. (1985). “Fuzzy identification of systems and its applications to modelling and control,” IEEE Transactions on Systems, Man and Cybernetics, 15(1), 116–132.
Thornton, C., Heneghan, C., Navaratnarajah, M., Bateman, P., and Jones, J. (1985). “Effect of Etomidate on the auditory evoked response in man,” BJA, 57, 554–561.
Thornton, C., and Newton, D.E.F. (1989). “The auditory evoked response: a measure of depth of anaesthesia,” Baillière’s Clinical Anaesthesiology, 3(3), 559–585.
Thornton, C. (1991). “Evoked potentials in anaesthesia,” European Journal of Anaesthesiology, 8(2), 89–107
Tracy, J. (1993). “Awareness in the operating room: a patient’s view”, Memory and Awareness in Anesthesia, P.S. Sebel, B. B. Bonke, and E. Winograd, eds., Prentice Hall, New Jersey, 349–353.
Veng-Pedersen, P., and Modi, N.B. (1992). “Perspectives in Pharmacokinetics. Neural Network in pharmacodynamic modelling. Is current modelling practice of complex kinetic systems at a dead end?,” Journal of Pharmacokinetics and Biopharmaceutics, 20(4), 397–412.
Webb, A., Allen, R., and Smith, D. (1996). “Closed-loop control of depth of anaesthesia,” Measurement + Control, 29, 211–215.
White, M., Schenkels, M.J., Engbers, F.H., Vletter, A.,Burm, A.G., Bovill, J.G., and Kenny, G.N. (1999). “Effect sitemodelling of propofol using auditory evoked potentials,” British Journal of Anaesthesia, 82(3), 333–339.
Williams, J.R., and Amaratunga, K. (1994). “Introduction to wavelets in engineering,” International Journal for Numerical Methods in Engineering, 37, 2365–88.
Yager, R.R. (1995). “Fuzzy sets as a tool for modelling,” Lecture Notes in Computer Science, 1000, 538–48.Thornton, C. (1991). “Evoked potentials in anaesthesia,” European Journal of Anaesthesiology, 8(2), 89–107.
Zadeh, L.A. (1969), “Biological application of the theory of fuzzy sets and systems,” Proceedings of the International Symposium on Biocybernetics of the Central Nervous system, 199–212.
Zadeh, L.A. (1994). “The role of fuzzy logic in modelling, identification and control,” Modelling, Identification and Control, 15(3), 191–203.
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Linkens, D.A., Abbod, M.F., Backory, J.K. (2002). Awareness Monitoring and Decision-Making for General Anaesthesia. In: Barro, S., Marín, R. (eds) Fuzzy Logic in Medicine. Studies in Fuzziness and Soft Computing, vol 83. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1804-8_4
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DOI: https://doi.org/10.1007/978-3-7908-1804-8_4
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