Depth of anesthesia estimation and control

IEEE Transactions on Biomedical Engineering

Volumn 46, Issue 1, 1999, Pages 71-81

  Huang, Johnnie W ^a,b   Nayak, A ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b BAXTER HEALTHCARE CORPORATION   (United States)

Author keywords

Depth of anesthesia; Fuzzy logic; Mid latency auditory evoked potentials; Neural networks; Pharmacokinetics; Total intravenous anesthesia; Wavelet analysis

Indexed keywords

ANESTHETICS; BIOELECTRIC POTENTIALS; FUZZY CONTROL; FUZZY SETS; NEURAL NETWORKS; NEUROPHYSIOLOGY; PHARMACOKINETICS; PHYSIOLOGICAL MODELS;

ANESTHESIA DEPTH; INTRAVENOUS ANESTHETIC;

ANESTHESIOLOGY;

PROPOFOL;

ANESTHESIA LEVEL; ARTICLE; EVOKED AUDITORY RESPONSE; INFUSION PUMP; WAVEFORM;

ALGORITHMS; ANESTHESIA, GENERAL; ANESTHETICS, INTRAVENOUS; ANIMALS; DISCRIMINANT ANALYSIS; DOGS; EVOKED POTENTIALS, AUDITORY; FUZZY LOGIC; HEMODYNAMIC PROCESSES; INFUSION PUMPS; NEURAL NETWORKS (COMPUTER); PROPOFOL; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; WAKEFULNESS;

EID: 0032893462     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.736759     Document Type: Article

References (40)

1. N. Moerman, B. Bonke, and J. Ousting, Awareness and recall during general anesthesia: Facts and feelings," Anesthesiol, vol. 79, pp. 454-464, 1993.
2. G. A. Gibbs, E. L. Gibbs, and W. G. Lennox, Effect on the electroencephalogram of certain drugs which influence nervous activity," Arch. Int. Med.. vol. 60, pp. 154-166, 1937.
3. K. Leslie, D. I. Sessler, M. Schroeder, and K. Walter, Propofol blood concentration and the bispectral index predict suppression of learning during Propofol/epidural anesthesia in volunteers," Anesth. and Analg., vol. 81, pp. 1269-1274, 1995.
4. H. S. Traast and C. J. Kalkman, Electroencephalographic characteristics of emergence from Propofol/sufentanil total intravenous anesthesia," Anesth. and Analg., vol. 81, pp. 366-371, 1995.
5. H. Schwilden, H. Stoeckel, and J. Schuttler, Closed-loop feedback control of Propofol anesthesia by quantitative EEG analysis in human," Er. J. Anaesth., vol. 62, no. 3, pp. 290-296, 1989.
6. C. Thornton and J. G. Jones, Evaluating depth of anaesthesia: Review of methods," Int. Anesth. Clinics, vol. 31, pp. 67-68, 1993.
7. L. Goldmann, Information processing under general anaesthesia: A review," J. R. Soc. Med., vol. 81, pp. 224-227, 1988.
8. M. H. Sims and R. E. Moore, Auditory evoked response in the clinically normal dog: Middle latency components," Amer. J. Vet. Res., vol. 45, pp. 2028-2033, 1984.
9. C. Thornton, K. M. Konieczko, A. B. Knight, B. Kaul, J. G. Jones, C. J. Dore, and D. C. White, Effect of Propofol on the auditory evoked response and oesophageal contractility," Er. J. Anaesth., vol. 63, pp. 411-417, 1989.
10. A. Nayak and R. J. Roy, Neural networks for predicting depth of anesthesia from auditory evoked potentials: A comparison of the wavelet transform with autoregressive modeling and power spectrum feature extraction methods," in Proc. 17th Annu. IEEE EMBS Conf., Montreal, Canada, 1995, p. 54.
11. G. C. Cummings, J. Dixon, N. H. Kay, J. P. W. Windsor, E. Major, M. Morgan, J. W. Sear, A. A. Spence, and D. K. Stephenson, Dose
12. requirement of ICI 35,868 (Propofol, 'diprivan') in a new formulation for induction of anaesthesia," Anaesth., vol. 39, pp. 1168-1171, 1984.
13. O. Boyd, L. J. Murdoch, C. J. MacKay, E. D. Bennett, and R. M. Grounds, The cardiovascular changes associated with equipotent anaesthesia with either Propofol or Isoflurane," Acta Anaesthesiol. Scand.. vol. 38, pp. 357-362, 1994.
14. B. Widrow and M. A. Lehr, 30 years of adaptive neural networks: Perceptron, madaline, and backpropagation," Proc. IEEE, vol. 79, no. 9, pp. 1415-1442, 1990.
15. L. A. Zadeh, Outline of a new approach to the analysis of complex system and decision process," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, pp. 28-44, 1973.
16. I. H. Lavalle, An Introduction to Probability, Decision, and Inference. New York: Holt, Rinehart, and Winston, 1970.
17. P. S. Sebel and J. D. Lowdon, Propofol: A new intravenous anesthetic," Anesthesiol., vol. 71, pp. 260-277, 1989.
18. R. M. Tackley, G. T. R. Lewis, C. Prys-Roberts, R. W. Boaden, J. Dixon, and J. T. Harvey, Computer controlled infusion of Propofol," Br. J. Anaesth., vol. 62, pp. 46-53, 1989.
19. E. I. Eger, L. J. Saidman, and B. Brandstater, Minimum alveolar anesthetic concentration: A standard of anesthetic potency," Anesthesiol., vol. 26, pp. 756-763, 1965.
20. S. Mallat, A theory of multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Machine Intell, vol. 11, pp. 674-693, 1989.
21. I. Daubechie, The wavelet transform, time-frequency localization and signal analysis," IEEE Trans. Inform. Theory, vol. 36, pp. 961-1005, 1990.
22. ___, Orthonormal bases of compactly supported wavelets," Commun. Pure and Appl. Math., vol. 41, pp. 909-996, 1988.
23. J. MacQueen, Some methods for classification and analysis of multi-variate observation," in Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, L. M. LeCun and J. Neyman, Eds., 1967, vol. 1, pp. 281-297.
24. D. M. Hawkins, Identification of Outliers. London, U.K.: Chapman and Hall, 1980.
25. W. R. Klecka, Discriminant Analysis. London, U.K.: Sage, 1980.
26. G. Mirchandani and W. Cao, On hidden nodes for neural nets," IEEE Trans. Circuits Syst., vol. 36, pp. 661-664, 1989.
27. T. Kirkpatrick, I. D. Cockshott, E. J. Douglas, and W. S. Nimmo, Pharmacokinetics of Propofol (diprivan) in elderly patients," Br. J. Anaesth., vol. 60, pp. 146-150, 1988.
28. J. Vuyk, F. H. M. Engbers, H. J. M. Lemmen, A. G. L. Burm, A. A. Vletter, M. P. R. R. Gladines, and J. G. Bovill, Pharmacodynamics of Propofol in female patients," Anesthesiol., vol. 77, pp. 3-9, 1992.
29. C. Smith, A. I. McEwan, R. Jhaveri, M. Wilkinson, D. Goodman, L. R. Smith, A. T. Canada, and P. S. A. Glass, The interaction of fentanyl on the Cpso of Propofol for loss of consciousness and skin incision," Anesthesiol., vol. 81, pp. 820-828, 1994.
30. J. F. Coetzee, J. B. Glen, C. A. Wium, and L. Boshoff, Pharmacokinetic model selection for target controlled infusions of Propofol-Assessment of three parameter sets," Anesthesiol., vol. 82, pp. 1328-1345, 1995.
31. J. Vuyk, F. H. M. Engbers, A. G. L. Burm, A. A. Vletter, and J. G. Bovill, Performance of computer-controlled infusion of Propofol: An evaluation of five pharmacokinetic parameter sets," Anesth. Analg., vol. 81, pp. 1275-1282, 1995.
32. J. A. Swets and R. M. Pickett, Evaluation of Diagnostic Sys-tems-Methods from Signal Detection Theory. New York: Academic, 1982.
33. R. W. Hamming, Digital Filters. Englewood Cliffs, NJ: Prentice-Hall, 1988.
34. R. E. Kaiman, A new approach to linear filtering and prediction problems," Trans. ASME, J. Basic Eng., Mar. 1960, pp. 35-415.
35. G. N. C. Kenny, W. A. McFadzean, H. Mantzaridis, and A. C. Fisher, Closed-loop control of anesthesia," Anesthesiol., vol. 77, p. A328, 1992.
36. M. Doi, R. J. Gajraj, H. Mantzaridis, and G. N. C. Kenny, Relationship between calculated blood concentration of Propofol and electrophysiological variables during emergence from anaesthesia: Comparison of bispectral index, spectral edge frequency, median frequency and auditory evoked potential index," Br. J. Anaesth., vol. 78, pp. 180-184, 1997.
37. F. W. Davies, H. Mantzaridis, G. N. C. Kenny, and A. C. Fisher, Middle latency auditory evoked potentials during repeated transitions from consciousness to unconsciousness, "Anaesth., vol. 51, pp. 107-113, 1996.
38. A. Sharma and R. J. Roy, Design of a recognition system to predict movement during anesthesia," IEEE Trans. Biomed. Eng., vol. 44, pp. 505-511, July 1997.
39. A. Nayak and R. J. Roy, Anesthesia control using midlatency auditory evoked potentials," IEEE Trans. Biomed. Eng., vol. 45, pp. 409-4121, Apr. 1998
40. D. Schwender, M. Daunderer, S. Mulzer, S. Klasing, U. Finsterer, and K. Peter, Midlatency auditory evoked potentials predict movements during anesthesia with Isoflurane or Propofol," Anesth. Analg., vol. 85, pp. 164-173, 1997.