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Large-scale Multiple Model for the Simulation of Anesthesia

  • R. Q. Y. Tham
  • F. J. Sasse
  • V. C. Rideout
Part of the Advances in Simulation book series (ADVS.SIMULATION, volume 3)

Abstract

During anesthesia, many interacting factors (both intrinsic and extrinsic to the physiological system) affect hemodynamic responses and equilibria. Cardiovascular parameters, which are intrinsic factors of the physiological system regulating the hemodynamic responses, constantly adjust to maintain metabolic demand. External factors such as drug actions exert their influence directly on the cardiovascular parameters, and indirectly through the baroreceptor, chemoreceptor, and hormonal regulators to alter the cardiovascular parameter values and hemodynamic responses. Interactions among the drug actions and the cardiovascular system are complex and varied, producing different responses between and within species. One example of such variations arises with the multiple sites of actions of halothane as identified by [Seag 85], accounting for some inconsistent observations in heart rate and systemic peripheral resistances responses that occur during halothane anesthesia.

Keywords

Multiple Model Parasympathetic Activity Carotid Sinus Halothane Anesthesia Cardiovascular Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [Allo76]
    Allot, P.R., Steward, A. and Mapleson, W.W. 1976. Pharmacokinetics of halothane in the dog. Brit. J. Anaesth. 48:279.CrossRefGoogle Scholar
  2. [Ashm70]
    Ashman, M.N., Blesser, W.B. and Epstein, R.M. 1970. A nonlinear model for the uptake and distribution of halothane in man. Anesthesiol. 33:419–428.Google Scholar
  3. [Bedu79]
    Beduhn, D.L. 1979. A model of anesthetic uptake and distribution. Masters Thesis. UW-Madison.Google Scholar
  4. [Bene79]
    Beneken, J.E.W. and Rideout, V.C. 1968. The use of multiple models in cardiovascular system studies: transport and perturbation methods. IEEE Trans BME 15:281–289.Google Scholar
  5. [Dedr68]
    Dedrick, R.L. and Bischoff, K.B. 1968. Pharmacokinetics in applications of the artificial kidney. Chem. Eng. Progr. Symp. 81(64):32–44.Google Scholar
  6. [Dick68]
    Dick, D.E. 1968. A hybrid computer study of major transients in the canine cardiovascular system. Ph. D. Thesis. University of Wisconsin-Madison.Google Scholar
  7. [Fuku73]
    Fukui, Y. 1972. A study of the cardiovascular-respiratory system using hybrid computer modelling. Ph. D. Thesis. University of Wisconsin-Madison.Google Scholar
  8. [Fuku81a]
    Fukui, Y. and Smith, T.N. 1981. Interaction among ventilation, circulation, and the uptake and distribution of halothane — Use of a hybrid computer multiple model: I. The basic model. Anesthesiol. 54:107–118.Google Scholar
  9. [Fuku81b]
    Fukui, Y. and Smith, T.N. 1981. Interaction among ventilation, circulation, and the uptake and distribution of halothane — Use of a hybrid computer multiple model: II. Spontaneous vs. controlled ventilation, and the effects of Carbon Dioxide. Anesthesiol. 54:119–124.Google Scholar
  10. [Guyt81]
    Guyton, A.C. 1981. Textbook of physiology. Saunders. Philadelphia.Google Scholar
  11. [Jacq72]
    Jacquez, J.A. 1972. Computational analysis in biology and medicine: Kinetics of Tracer-labeled Materials. Elsevier. New Tork.Google Scholar
  12. [Kato80]
    Katona, P.G. 1980. Automated control of physiological variables and clinical therapy. CRC Crit. Rev. Biomed. in Eng. 8(4):281–310.Google Scholar
  13. [Kezd67]
    Kezdi, P (Ed). 1967. Baroreceptors and Hypertension. Pergamon Press. New York.Google Scholar
  14. [Levy79]
    Levy, M.N. and Martin, P. 1979. Neural Control of the Heart. In “Handbook of Physiology. Section 2: The Cardiovascular System. Vol. 1: The Heart”. Am. Physiol. Soc. Bethesda. Maryland.Google Scholar
  15. [Lync81]
    Lynch, C., Vogel, S. and Sperelakis, N. 1981. Halothane depression of myocardial slow action potentials. Anesthesiol. 55:360–368.Google Scholar
  16. [Mapl73]
    Mapleson, W.W. 1973. Circulation-time models of the uptake of inhaled aneaesthetics and data for quantifying them. Brit. J. Anaesth. 45:319.Google Scholar
  17. [Mart70]
    Martin, P. 1970. Automatica. 6:175.Google Scholar
  18. [Midd72]
    Middleman, S. 1972. (Ed). Transport phenomenon in cardiovascular system. John Wiley. New York.Google Scholar
  19. [Mitc86]
    Mitchell & and Gauthier Associates. 1986. Advanced continuous simulation language. Mitchell & Gauthier Associates. Concord, MA. 01742.Google Scholar
  20. [Ride75]
    Rideout, V.C. 1975. Mass Transport simulation using compartments and multiple modeling. ISA Trans. 14:109.Google Scholar
  21. [Ride83]
    Rideout, V.C. 1983. Linear analysis of the cardiovascular system. In “Integrated approaches to monitoring.” Gravenstein, J.S. et al (ed). Butterworths.Google Scholar
  22. [Ride85]
    Rideout, V.C. and Tham, Q.Y.R. 1985. A non-pulsatile pressure-flow cardiovascular model. J. Clin. Monitoring. 1(1):90.Google Scholar
  23. [Schi83]
    Schils, G.F. 1983. A study of servo-anesthesia. Doctoral Thesis. UW-Madison.Google Scholar
  24. [Schi87]
    Schils, F.J., Sasse, F.J., Rideout, V.C. 1987. Automatic Control of Anesthesia Using Two Feedback Variables. Annals of Biomed Engr. 15:19–34.Google Scholar
  25. [Seag85]
    Seagard, J.L., Bosnjak, Z.J., Hopp, F.A. (Jr), Kotrly, K.J., Ebert, TJ. and Kampine, J.P. 1985. Chapter 12 of Effects of Anesthesia. Covino, B.G., Fozzard, H.A., Rehder, K. and Strichartz, G. (eds). Am. Physiol. Soc. Williams & Wilkins. Baltimore.Google Scholar
  26. [Seag83]
    Seagard, J.L., Hopp, F.A., Bosnjak, Z.J., Elegbe, E.O. and Kampine, J.P. 1983. Extent and Mechanism of halothane sensitization of the carotid sinus baroreceptors. 58:432–437.Google Scholar
  27. [Seag82]
    Seagard, J.L., Hopp, F.A., Donegan, J.H., Kalblleisch, J.H. and Kampine, J.P. 1982. Halothane and the carotid sinus reflex: Evidence for multiple sites of action. Anesthesiol. 57:191–202.Google Scholar
  28. [Suna82]
    Sunagawa, K., and Sagawa, K. 1982. Models of ventricular contraction based on time-varying elastance. CRC Crit. Rev. in Biomed. Eng. pp 193–228.Google Scholar
  29. [Tham88]
    Tham, R.Q. Y. 1988. A Study of the Effects of Halothane on the Canine Cardiovascular System and Baroreceptor Control. Ph. D. Thesis. University of Wisconsin-Madison.Google Scholar
  30. [Zwar72]
    Zwart, A., Smith, T.N. and Beneken, J.E.W. 1972. Multiple model approach to uptake and distribution of halothane: the use of an analog computer. Comp. & Biomed. 5:228–238Google Scholar

Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • R. Q. Y. Tham
    • 1
  • F. J. Sasse
    • 1
  • V. C. Rideout
    • 1
  1. 1.Department of Electrical and Computer Engineering and Department of AnesthesiologyUniversity of Wisconsin-MadisonUSA

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