The benefits of using Guyton's model in a hypotensive control system

Computer Methods and Programs in Biomedicine

Volumn 89, Issue 2, 2008, Pages 153-161

  Nguyen, Chi Ngon ^a,b   Simanski, Olaf ^b   Kähler, Ralf ^b   Schubert, Agnes ^b   Janda, Matthias ^b   Bajorat, Jörn ^b   Lampe, Bernhard ^b  

^a CAN THO UNIVERSITY   (Viet Nam)

^b UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Blood pressure; Fuzzy control; Medical applications; Medical systems; Physiological model

Indexed keywords

BLOOD PRESSURE; COMPUTER APPLICATIONS; FUZZY CONTROL; MATHEMATICAL MODELS; PHYSIOLOGICAL MODELS;

ARTERIAL PRESSURE; CARDIOVASCULAR DYNAMICS; GUYTON'S MODEL; SODIUM NITROPRUSSIDE;

CONTROL SYSTEMS;

NITROPRUSSIDE SODIUM;

ALGORITHM; ANESTHESIA INDUCTION; ARTICLE; CARDIOVASCULAR FUNCTION; COMPUTER SIMULATION; DISEASE CONTROL; DRUG INFUSION; FUZZY SYSTEM; HYPOTENSION; MEAN ARTERIAL PRESSURE;

BLOOD VOLUME; HUMANS; HYPOTENSION; INTRAOPERATIVE PERIOD; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NITROPRUSSIDE; VASODILATOR AGENTS;

EID: 38049015893     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.03.005     Document Type: Article

References (30)

1. Furutani E., Araki M., Sakamoto T., and Maetani S. Blood pressure control during surgical operations. IEEE Trans. Biomed. Eng. 42 (1995) 999-1006
2. Furutani E., Araki M., Kan S., Aung T., Onodera H., Imamura M., Shirakami G., and Maetani S. An automatic control system of the blood pressure of patients under surgical operation. Int. J. Control Automat. Syst. 2 (2004) 39-54
3. Onodera H., Maetani S., Tung A., Kan S., Sakamoto T., Shiragami G., Furutani E., Araki M., and Imamura M. Clinical application of a blood pressure autoregulation system during hypotensive anesthesia. World J. Surg. 23 (1999) 1258-1263
4. Shah N., Valle O.D., Edmondson R., Acampora G., Dwyer D., Matarazzo D., Rogatko A., Thorne A., and Bedford R.F. Esmolol infusion during nitroprusside-induced hypotension: impacton, hemodynamics,ventricular performance and venous admixture. J. Cardiothorac. Vasc. Anesth. 6 2 (1992) 196-200
5. Er M.J., and Gao Y. Adaptive control strategy for blood pressure regulation using a fuzzy neural network. IEEE Int. Conf. Syst. Man Cybern. 3 (2003) 2120-2125
6. Slate J.B., and Sheppard L.C. Automatic control of blood pressure by drug infusion. IEEE Proc. Pt. A 129 (1982) 639-645
7. Isaka S., and Sebald A.V. Control strategies for arterial blood pressure regulation. IEEE Trans. Biomed. Eng. 40 (1993) 353-363
8. Tinker J.H., and Michenfelder J.D. Sodium nitroprusside. Anesthesiology 45 (1976) 340-354
9. Chen C.T., Lin W.L., Kuo T.S., and Wang C.Y. Adaptive control of arterial blood pressure with a learning controller based on multilayer neural networks. IEEE Trans. Biomed. Eng. 44 (1997) 601-609
10. J.B. Slate, Model-based design of a controller for infusion sodium nitroprusside during postsurgical hypertension, Ph.D. Thesis, University of Wisconsin-Madison, 1980.
11. 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. Biomed. Eng. 42 (1995) 371-385
12. Ying H., and Sheppard L.C. Regulating mean arterial pressure in postsurgical cardiac patients. A fuzzy logic system to control administration of sodium nitroprusside. IEEE Eng. Med. Biol. 13 (1994) 671-677
13. Behbehani K., and Cross R.R. A controller for regulation of mean arterial blood pressure using optimum nitroprusside infusion rate. IEEE Trans. Biomed. Eng. 38 6 (1991) 513-521
14. Ganbing W. Adaptive controller of blood pressure using model with fraction time delays. Proceedings of the IEEE 10th Conference on Medical Biology (1988) 1309-1310
15. Ma J., Zhu K.Y., and Krishnan S.M. Automatic postoperative blood pressure control. Proceedings of the IEEE 22nd Annual EMBS. Chicago, IL, July 23-28 (2000) 817-820
16. Ying H., Sheppard L., and Tucker D. Expert-system-based fuzzy control of arterial pressure by drug infusion. Med. Prog. Technol. 13 (1988) 203-215
17. Ying H., McEachern M., Eddleman D.W., and Sheppard L.C. Fuzzy control of mean arterial pressure in postsurgical patients with sodium nitroprusside infusion. IEEE Trans. Biomed. Eng. 39 (1992) 1060-1070
18. Ying H., and Sheppard L.C. Real-time expert-system-based fuzzy control of mean arterial pressure in pigs with sodium nitroprusside infusion. Med. Prog. Technol. 16 (1990) 69-76
19. Yu C., Roy R.J., Haufman H., and Bequette B.W. Multiple-model adaptive predictive control of mean arterial pressure and cardiac output. IEEE Trans. Biomed. Eng. 39 (1992) 765-778
20. Rao R.R., Bequette B.W., and Roy R.J. Simultaneous regulation of hemodynamic and anesthetic states: a simulation study. Ann. Biomed. Eng. 28 (2000) 71-84
21. Guyton A.C., Coleman T.G., Cowley Jr. A.W., Liard Jr. J.F., Norman Jr. R.A., and Manning R.D. Systems analysis of arterial pressure regulation and hypertension. Ann. Biomed. Eng. 1 (1972) 254-281
22. Guyton A.C., Coleman T.G., and Granger H.J. Circulation: overall regulation. Annu. Rev. Physiol. 4 (1972) 13-46
23. Guyton A.C., and Hall L.E. Unit IV-the circulation. Textbook of Medical Physiology (1996), W.B. Saunders, Philadelphia pp. 159-294
24. Guyton A.C., Coleman T.G., and Montani J.P. Annotation of Large Circulatory Model (1993), University of Mississippi Medical Center
25. Nguyen C.-N., Simanski O., Schubert A., Kähler R., and Lampe B. An online fuzzy gain scheduling for blood pressure regulation. Proceedings of the 16th IFAC World Congress. Prague, Czech Republic, July 4-8 (2005) 1-6 Th-A19-TO/3, ISBN: 0-08-045108-X
26. Kähler R., Janda M., Beck C., and Simanski O. Kontrollierte hypotension mit natrium nitroprussid. Proceedings of the 11th Symposium on Maritime Elektro., Elektronik and Informat. Universität Rostock (2004) 145-151
27. Werner J., Böhringer D., and Hexamer M. Simulation and prediction of cardiotherapeutical phenomena from a pulsatile model coupled to the Guyton circulatory model. IEEE Trans. Biomed. Eng. 49 (2002) 430-439
28. Zhao Z.Y., Tomizuka M., and Isaka S. Fuzzy gain scheduling of PID controllers. IEEE Trans. Syst. Man Cybern. 23 (1993) 1392-1398
29. Meier R., Nieuwland J., Zbinden A.M., and Hacisalihzade S.S. Fuzzy control of blood pressure during anesthesia. IEEE Contr. Syst. Mag. 12 (1992) 12-17
30. Akpolat Z.H., and Avci E. Fuzzy control of mean arterial pressure during anesthesia. Proceedings of the11th Mediterranean Conference on Control and Automation. Rhodes, Greece June (2003)