Annals of Biomedical Engineering

, Volume 15, Issue 1, pp 19–34 | Cite as

Automatic control of anesthesia using two feedback variables

  • George F. Schils
  • Frank J. Sasse
  • Vincent C. Rideout
Article

Abstract

A new controller of anON/OFF type was implemented for halothane anesthesia. A proportional-plus-integral controller with time-delay compensation proved not to be robust enough for the known clinical situation, as shown both in computer simulations and in animal trials. TheON/OFF controller proved to be less sensitive to parameter mismatches, and repeated animal trials showed a short response time and acceptable steady-state tracking. A method for switching the controlled effect of the drug was also developed, since anesthetic agents have multiple effects. Mean arterial blood pressure and a measure ofEEG frequency were chosen as controlled variables, both being depressed by halothane. A coordinator forces the system state as near the desired values of these variables as possible, given that only one drug is used.

Keywords

Servo-anesthesia Halothane Multivariable control ON/OFF control Drug controllers Drug delivery systems 

Nomenclature

A/D

analog-to-digital

CO2

carbon dioxide

CSA

electroencephalographic compressed spectral array display

D/A

digital-to-analog

ECG

electrocardiogram

EEG

electroencephalogram

MAC

minimal alveolar concentration

MAP

mean arterial blood pressure

PI

proportional-plus-integral controller

SEF

electroencephalographic spectral edge frequency

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References

  1. 1.
    Bellville, J.W., J.F. Artusio, Jr. and M.W. Bulmer. Continuous servo motor integration of the electrical activity of the brain and its application to the control of cyclopropane anesthesia.Electroencephalog. Clin. Neurophysiol. 6:317–320, 1954.Google Scholar
  2. 2.
    Bellville, J.W. and G.M. Attura. Servo control of general anesthesia.Science 126:827–830, 1957.PubMedGoogle Scholar
  3. 3.
    Beneken, J.E.W., J.A. Blom, F.F. Jorritsma, A. Nandorff, A.V. Bijnen and J. Spierdijk. Servoanesthesia: model-based prediction and optimal therapy of patients under anesthesia.Biomedizinische Technik 24:233–234, 1979.Google Scholar
  4. 4.
    Bickford, R.G. Electronic control of anesthesia.Electronics 23:107–109, 1950.Google Scholar
  5. 5.
    Bickford, R.G. Automatic electroencephalographic control of general anesthesia.Electroencephalog. Clin. Neurophysiol. 2:93–96, 1950.Google Scholar
  6. 6.
    Bickford, R.G. The use of feedback systems for the control of anesthesia.Electrical Engineering 70:852–855, 1951.Google Scholar
  7. 7.
    Bickford, R.G. Use of frequency discrimination in automatic electroencephalographic control of anesthesia (servo-anesthesia).Electroencephalog. Clin. Neurophysiol. 3:83–86, 1951.Google Scholar
  8. 8.
    Bickford, R.G., N.I. Fleming and T.W. Billinger. Compression of EEG data by isometric power spectral plots.Electroencephalog. Clin. Neurophysiol. 31:631, 1971.Google Scholar
  9. 9.
    Bickford, R.G., N.I. Fleming, T.W. Billinger and L. Stewart. The compressed spectral array (CSA): a pictorial EEG.Proceedings of the 1972 San Diego Biomedical Symposium 11:365, 1972.Google Scholar
  10. 10.
    Bryson, E.B., Jr. and Yu-Chi Ho,Applied Optimal Control. New York: Hemisphere, 1975.Google Scholar
  11. 11.
    Coles, J.R., W.A. Brown and D.G. Lampard. Computer control of respiration and anesthesia.Med. Biol. Eng. 12:262–267, 1973.Google Scholar
  12. 12.
    Eger, E.I., II, L.J. Saidman and B. Brandstater. Minimum alveolar anesthetic concentration: a standard of anesthesic potency.Anesthesiology 26:756–763, 1965.PubMedGoogle Scholar
  13. 13.
    Fukui, Y., R.A. Fleming and N.T. Smith. Digital and sampled-data control of arterial blood pressure during halothane anesthesia.Proceedings of the 1974 San Diego Biomedical Symposium 13:273–278, 1974.Google Scholar
  14. 14.
    Hudson, R.J., D.R. Stanski, L.J. Saidman and E. Meathe. A model of studying depth of anesthesia and acute tolerance to thiopentalAnesthesiology 59:301–308, 1983.PubMedGoogle Scholar
  15. 15.
    Hynson, J.M. Model studies for the desgin of a servo-anesthesia system. M.S. Thesis in Electrical Engineering, University of Wisconsin, 1980.Google Scholar
  16. 16.
    Kiersey, D.K., A. Faulconer, Jr. and R.G. Bickford. Automatic electroencephalographic control of thiopental anesthesia.Anesthesiology 15:356–364, 1954.PubMedGoogle Scholar
  17. 17.
    Kraft, H.H. and D.E. Lees. Closing the loop: How near is automated anesthesia?Southern Med. J. 70:7–12, 1984Google Scholar
  18. 18.
    Lampard, D.G., J.R. Coles and W.A. Brown. Electronic digital computer control of ventilation and anesthesia.Anaesth. Intensive Care 1:382–392, 1973.PubMedGoogle Scholar
  19. 19.
    Lampard, D.G., J.R. Coles and W.A. Brown Computer control of respiration and anesthesia.Australian Journal of Experimental Biology and Medical Science 51:275–281, 1973.PubMedGoogle Scholar
  20. 20.
    Morris, P., M.L. Tatnall and J.F. Montgomery. Controlled anesthesia: a clinical evaluation of an approach using patient characteristics identified during uptake.Br. J. Anaesth. 55:1065, 1983.PubMedGoogle Scholar
  21. 21.
    Rampil, I.J., F.J. Sasse, N.T. Smith, B.H. Hoff and D.C. Flemming. Spectral edge frequency—a new correlate of anesthetic depth.Anesthesiology (Abstract) 53: S12, 1980.Google Scholar
  22. 22.
    Sage, A.P. and C.C. White.Optimum Systems Control. Englewood Cliffs: Prentice-Hall, 1977, p. 106.Google Scholar
  23. 23.
    Schils, G.F. A study of servo-anesthesia. Ph.D. Thesis in Electrical Engineering, University of Wisconsin, 1983.Google Scholar
  24. 24.
    Scott, J.C., Ponganis, K.V. and D.R. Stanski. EEG quantification of narcotic effect: the comparative pharmacodynamics of fentanyl and alfentanyl.Anesthesiology 62:234–241, 1985.PubMedGoogle Scholar
  25. 25.
    Smith, N.T. and H.O. Schwede. The response of arterial pressure to halothane: a systems analysis.Med. Biol. Eng. 10:207–221, 1972.PubMedGoogle Scholar
  26. 26.
    Smith, N.T., I.J. Rampil, F.J. Sasse, B.H. Hoff and D.C. Flemming. The dynamic pressure response to halothane and enflurane.Anesthesiology (Abstract) 53:S37, 1980.Google Scholar
  27. 27.
    Smith, N.T., M.L. Quinn, J. Flick, Y. Fukui, R. Fleming and J.R. Coles. Automatic control in anesthesia: A comparison in performance between the anesthetist and the machine.Anesth. Analg. 63:715–722, 1984.PubMedGoogle Scholar
  28. 28.
    Soltero, D.E., A. Faulconer, Jr. and R.G. Bickford. The clinical application of automatic anesthesia.Anesthesiology 12:574–582, 1951.PubMedGoogle Scholar

Copyright information

© Pergamon Journals Ltd. 1987

Authors and Affiliations

  • George F. Schils
    • 1
  • Frank J. Sasse
    • 2
  • Vincent C. Rideout
    • 3
  1. 1.Sandia National LaboratoriesLivermore
  2. 2.Department of AnesthesiologyUniversity of WisconsinMadisonWisconsin
  3. 3.Department of Electrical and Computer EngineeringUniversity of WisconsinWisconsin

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