Hemodynamic management with multiple drugs using fuzzy logic

Fuzzy and Neuro-Fuzzy Systems in Medicine

Volumn , Issue , 2017, Pages 319-340

  Huang, Johnnie W ^a   Held, Claudio M ^a   Roy, Rob J ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 13644269442     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203713419     Document Type: Chapter

References (27)

1. Sheppard, L.C., Kouchoukos, N.T., Kurtis, M.A., and Kirklin, J.W., Automated treatment of critically ill patients following operation. Annals of Surgery, 1968; 168: 596-604.
2. Roy, R.J., Adaptive Cardiovascular Control Using Multiple Drug Infusions, Proc. of the IEEE-EMBS Conference on Frontiers of Engineering in Health Care, 459-464, 1982.
3. Huang, J.W. and Roy, R.J., Multiple-drug hemodynamic control using fuzzy decision theory. IEEE Trans, on Biomed. Eng., 1998; 45 (2): 213-228.
4. Croft, D.J., Mathematical methods in medical diagnosis. Ann. Biomedical Engineering, 1974; 2.
5. Gouvernet, J, Ayme, S, and Sanchez, E., Approximate Reasoning in Medical Genetics, Proc. of Int. Congress on Applied Systems Research and Cybernetics, Acapulco, Mexico, 1980.
6. Gorry, G.A. and Barnett, G.O., Sequential diagnosis by computer. Journal of American Medical Association, 1968; 205: 849-54.
7. Shortliffe, E.H., Computer-Based Medical Consultations, MYCIN. Elsevier/North Holland, New York, 1976.
8. Bezdek, J.C., Feature selection for binary data: Medical diagnosis with fuzzy sets, Proc. of National Computer Conf, AFIPS Press, Montvale, New Jersey, 1976.
9. Smets, P., Medical diagnosis: Fuzzy sets and degrees of belief, Fuzzy Sets and Systems, 1981; 5 (3): 259-66.
10. Raoult, O., Survey of diagnosis expert systems, in Knowledge Based Systems for Test and Diagnosis, Elsevier Science Publishers B.V. North-Holland, 1989.
11. Hudson, D.L. and Cohen, M.E., Fuzzy logic in medical expert system, IEEE Eng. in Med. and Bio. Magazine, Nov./Dec. 1994: 693-698.
12. Isaka, S., Sebald, A.V., Control Strategies for Arterial Blood Pressure Regulation, IEEE Trans, on Biomed. Eng., April 1993; 40: 353-63.
13. Walker, B.K., Chia, T-L, Stern, S and K.S., Katona, P.G., Parameter Identification and Adaptive Control for Blood Pressure, Proc. IFAC Identification System Parameter Estimation, Washington, D.C.; 1982: 1413-8.
14. Arnsparger, J.M., Mclnnis, B.C., Glover, J.R., and Normann, N.A., Adaptive Control of Blood Pressure, IEEE Trans, on Biomed. Eng., 1983; BME-30: 168-76.
15. Kaufman, H, Roy, R.J., and Xu, X., Model Reference Adaptive Control of Drug Infusion Rate, Automatica, 1984; 20: 205-9.
16. Hammond, J.J., Kirkendall, W.M., and Calfee, R.V., Hypertensive Crisis Managed by Computer Controlled Infusion of Sodium Nitroprusside: A Model for the Closed Loop Administration of Short Acting Vasoactive Agents, Computers and Biomedical Engineering, 1979; 12: 97-108.
17. Martin, J.F., Schneider, A.M., Quinn, M.L., and Smith, N.T., Improved Safety and Efficacy in Adaptive Control of Arterial Blood Pressure Through the Use of a Supervisor, IEEE Trans, on Biomed. Eng., April 1992; 39: 381-8.
18. Sebald, A.V., Sebald, C.A., and Schlenzig, J, Use of Neural Net Control Strategies in Difficult Adaptive Control Problems: Closed Loop Control of Drug Infusion, Proc. Asilomar Conf. on Circuits and Systems, Nov. 1989: 342-4.
19. Voss, G.I., Katona, P.G., and Chizeck, H.J., Adaptive Multivariable Drug Delivery Control of Arterial Pressure and Cardiac Output in Anesthetized Dogs, IEEE Trans, on Biomed. Eng., 1987 Aug; BME-34 (8): 617-23.
20. Held, C.M. and Roy, R.J., Multiple Drug Hemodynamic Control by Means of a Supervisory-Fuzzy Rule Based Adaptive Control System: Validation on a Model, IEEE Trans, on Biomed. Eng., 1995 Apr; 371-85.
21. Westvold, S.S., Kaufman, H., and Roy, R.J., Model Reference Adaptive Control of a Circulatory Model for Combined Nitroprusside-Dopamine Therapy, Proc. Of ACASP 1992, Grenoble, France 1992 Jul 1-3: 223-8.
22. Yu, C., Roy, R.J., Kaufman, H., and Bequette, B.W., Multiple-Model Adaptive Predictive Control of Mean Arterial Pressure and Cardiac Output, IEEE Trans, on Biomed. Eng., 1992 Aug; 39 (8): 765-78.
23. Yu, C., Roy, R.J., and Kaufman, H, A Circulatory Model for Combined Nitroprusside-Dopamine Therapy in Acute Heart Failure, Medical Progress through Technology, 1990; 16: 77-88.
24. Tazaki, E., Medical Diagnosis Using Simplified Multidimensional Fuzzy Reasoning, Proc. IEEE Int. Conf. on SMC, 1988.
25. Lee, C.C., Fuzzy Logic in Control Systems: Fuzzy Logic Controller - Parts I and II, IEEE Trans, on Sys. Man. Cyber., 1990 Mar./Apr.; 20: 404-35.
26. Bonissone, P.P., A Compiler for Fuzzy Logic Controllers, Proc. Int. Conf. on Fuzzy Eng. Sys. IFES 91, Yokohama, Japan, Nov. 1991.
27. Held, C. M., Closed-loop hemodynamic management by means of a rule-based control system using fuzzy logic, Ph.D. Thesis, Rensselaer Polytechnic Institute, Tory, NY, July 1995.