Closed Loop Control

  • H. J. Chizeck
  • P. G. Katona

Abstract

In this chapter the use of “closed loop” or “feedback” automated control systems in two areas of clinical medicine is examined: drug delivery systems and functional electrical stimulation of paralysed muscle. These two applications are areas of intense current research in the use of computers in clinical medicine.

Keywords

Torque Heparin Respiration Noradrenalin Glycoside 

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References

  1. Albisser, A. M., 1979, Devices for the control of diabetes mellitus, Proc. IEEE, 67: 1308.CrossRefGoogle Scholar
  2. Albisser, A. M., and Leibel, B. S., 1977, The artificial pancreas, Clin. Endocr. Metab., 6: 457.CrossRefGoogle Scholar
  3. Albisser, A. M., Jackman, W. S., Ferguson, R., Bahoric, A., and Goriya, Y., 1978, A portable precision pumping system for chronic programmed insulin infusion, Med. Progr. Technol., 5: 187.Google Scholar
  4. Arnsparger, J. M., Mclnnis, B. C., Glover, J. R., and Normann, N. A., 1983, Adaptive control of blood pressure, IEEE Trans. Biomed. Eng., BME-30: 168.CrossRefGoogle Scholar
  5. Åström, K. J., 1970, “Introduction to Stochastic Control”, Academic Press, New York.Google Scholar
  6. Åström, K. J., and Wittenmark, B., 1973, On self-tuning regulators, Automatica, 9: 185.CrossRefGoogle Scholar
  7. Åström, K. J., Borison, U., Ljung, L., and Wittenmark, B., 1977, Theory and applications of self-tuning regulators, Automatica, 13: 457.CrossRefGoogle Scholar
  8. Axen, K., Haas, F., Lupo, F. J., and Bergofsky, E. H., 1977, Servo control of atrial and/or arterial blood pressures in experi-mental animals, IEEE Trans. Biomed. Eng., BME-24: 533.CrossRefGoogle Scholar
  9. Bajd, T., Kralj, A., Turk, R., 1982, Standing-up of a healthy subject and a paraplegic patient, J. Biomech., 15: 1.PubMedCrossRefGoogle Scholar
  10. Beller, G. A., and Haber, E., 1980, The pharmacology of digitalis, in: “The Practice of Cardiology”, R. A. Johnson, E. Haber, and W. G. Austen, eds., Little Brown and Co., Boston:262.Google Scholar
  11. Beneken, J. E. W., Blom, J. A., Jorritsma, F. F., Nandorff, A., Bijnen, A. V., and Spierdijk, J., 1979, Servoanesthesia: Model- based prediction and optimal therapy of patients under anesthesia, Biomedizinische Technik, 24: 233.CrossRefGoogle Scholar
  12. Benton, L. A., Baker, L. L., Bowman, B. R., and Waters, R. L., 1980, “Functional Electrical Stimulation; A Practical Clinical Guide”, Rancho Los Amigos Rehabilitation Engineering Center, Downey, CAGoogle Scholar
  13. Bickford, R. G., 1950, Automatic electroencephalographic control of general anesthesia, Electroenceph. Clin. Neurophysiol., 2: 93.CrossRefGoogle Scholar
  14. Borison, U., 1979, Self-tuning regulator for a class of multivariable systems, Automatica, 15: 209.CrossRefGoogle Scholar
  15. Botz, C. K., 1976, An improved control algorithm for an artificial beta-cell, IEEE Trans. Biomed. Eng., BME-23: 252.CrossRefGoogle Scholar
  16. Bowman, R. J., and Westenskow, D. R., 1981, A microcomouter-based fluid infusion system for the resuscitation of burn patients, IEEE Trans. Biomed. Eng., BME-28: 475.CrossRefGoogle Scholar
  17. Brindley, G. S., Polkey, C. E., and Rushton, D. N., 1979, Electrical splinting of the knee in paraplegia, Paraplegia, 16: 428.PubMedCrossRefGoogle Scholar
  18. Broekhuyse, H. M., Nelson, J. D., Zinman, B., and Albisser, A. M., 1981, Comparison of algorithms for the closed-loop control of blood glucose using the artificial beta cell, IEEE Trans. Biomed. Eng., BME-28: 678.CrossRefGoogle Scholar
  19. Chambille, B., Guenard, H., Loncle, M., and Bargeton, D., 1975, Alveostat, an alveolar \({{{\text{P}}}_{{{\text{AC}}{{{\text{O}}}_{2}}}}}\) and \({{{\text{P}}}_{{{\text{A}}{{{\text{O}}}_{2}}}}}\) control system, J. Appl. Physiol., 39: 837.Google Scholar
  20. Cheung, P. W., 1980, Chemical sensors, in “Essential Noninvasive Monitoring in Anesthesia”, J. S. Gravenstein, R. S. Newbower, A. K. Ream, and N. T. Smith, eds., Grune and Stratton, New York: 183.Google Scholar
  21. Chizeck, H. J., Kofman, L., Crago, P. E., and Wilhere, G. F., 1983, Pulse-train controllers for functional neuromuscular stimulation,, in: “Proc. 22nd IEEE Conf. on Decision and Control”, IEEE, New York:1501.Google Scholar
  22. Chizeck, H. J., Marsolais, E. B., and Kobetic, R., 1984, Closed- loop controller design of neuroprosthetics for functional walking in paralysed patients, in: “Proc. 9th IFAC World Congress”, Pergamon, Oxford.Google Scholar
  23. Clarke, D. W., and Gawthorp, P. J., 1975, Self-tuning controller, Proc. IEE, 122: 929.Google Scholar
  24. Clemens, A. H., 1979, Feedback control dynamics for glucose controlled insulin infusion system, Med. Progr. Technol., 6: 91.Google Scholar
  25. Clemens, A. H., Chang, P. H., and Myers, R. W., 1977, The development of BIOSTATOR, A glucose controlled insulin infusion system, Horm. Metab. Res., 7 (Suppl.): 23.PubMedGoogle Scholar
  26. Cohen, G. H., and Coon, G. A., 1953, Theoretical consideration of retarded control, Trans. Am. Soc. Mech. Eng., 75: 827.Google Scholar
  27. Coles, J. R., Brown, W. A., and Lampard, D. J., 1973, Computer control of respiration and anesthesia, Med. Biol. Eng., 11: 262.PubMedCrossRefGoogle Scholar
  28. Comroe, J. H., 1974, “Physiology of Respiration”, Year Book Medical Publishers, Chicago.Google Scholar
  29. Coon, R. L., Zuperku, E. J., and Kampine, J. P., 1978, Systemic arterial blood pH servocontrol of mechanical ventilation, Anesthesiology, 49: 201.PubMedCrossRefGoogle Scholar
  30. Cosgrove, R. J., and Smolen, V. F., 1978, Systems for automated feedback controlled administration of drugs; analog and digital optimal-adaptive control of thiopental anesthesia, Proc. San Diego Biomed. Symp., 17: 261.Google Scholar
  31. Crago, P. E., 1983, Control of movements by functional neuromuscular stimulation, IEEE Eng. in Med, and Biol. Magazine, Sept.: 32.Google Scholar
  32. Crago, P. E., Peckham, P. H., Mortimer, J. T., and Van Der Meulen, J. P., 1974, The choice of pulse duration for chronic electrical stimulation via surface, nerve and intramuscular electrodes, Ann. Biomed. Eng., 2: 252.PubMedCrossRefGoogle Scholar
  33. Crago, P. E., Mortimer, J. T., and Peckham, P. H., 1980a, Closed-loop control of force during electrical stimulation of muscle, IEEE Trans. Biomed. Eng., BME-27: 306.CrossRefGoogle Scholar
  34. Crago, P. E., Peckham, P. H., and Thorpe, G. B., 1980b, Modulation of muscle force by recruitment during intramuscular stimulation, IEEE Trans. Biomed. Eng., BME-27: 679.CrossRefGoogle Scholar
  35. Fisher, U., Jutzi, E., Freyse, E. J., and Salzsieder, E., 1978, Derivation and experimental proof of a new algorithm for the artificial β-cell based on the individual analysis of the physiological insulin-glucose relationship, Endokrinologie, 71: 65.Google Scholar
  36. Frumin, M. J., 1956, Clinical use of a physiological respirator producing N2O amnesia-analgesia, Anesthesiology, 18: 290.CrossRefGoogle Scholar
  37. Goicoechea, F. J., and Jelliffe, R. W., 1974, Computerized dosage regimens for highly toxic drugs, Am. J. Hosp. Pharmacy, 31: 67.Google Scholar
  38. Goriya, Y., Bahoric, A., Marliss, E. B., Zinman, B., Leibel, B. S., and Albisser, A. M., 1979, Glycemic regulation using a programmed insulin delivery device, Diabetes, 28: 558.PubMedGoogle Scholar
  39. Goriya, Y., Bahoric, A., Marliss, E. B., Zinman, B., and Albisser, A. M., 1980, Blood glucose control and insulin clearance in unrestrained diabetic dogs partially infused with a portable insulin delivery system, Diabetologie, 19: 452.CrossRefGoogle Scholar
  40. Grandjean, P. A., and Mortimer, J. T., 1983, Muscle force modulation with subfascial monopolar and bipolar electrodes, in: “Proc. IFAC Symp. on Control Aspects of Prosthetics and Orthotics”, R. M. Campbell, ed., Pergamon, New York.Google Scholar
  41. Grodins, F. S., and Yamashiro, S. M., 1973, Optimization of the mammalian respiratory gas transport system, Annu. Rev. Biophys., 2: 115.Google Scholar
  42. Hammond, J. J., Kirkendall, W. M., and Calfee, R. V., 1979, Hyper-tensive crisis management by computer controlled infusion of sodium nitroprusside: a model for the closed loop administration of short acting vasoactive agents, Comput. Biomed. Res., 12: 97.PubMedCrossRefGoogle Scholar
  43. Harris, C. J., and Billings, S. A., 1981, “Self-tuning and Adaptive Control: Theory and Applications”, Peter Peregrinus, Stevenage, Herts, and IEEE, New York.Google Scholar
  44. Hemami, H., and Fainsworth, R. C., 1977, Postural and gait stability of a planar five-link biped by simulation, IEEE Trans. Automat. Contr., AC-22: 450.Google Scholar
  45. Holloman, G. H., Milhorn, H. T., and Coleman, T. G., 1968, A sampled- data regulator for maintaining a constant alveolar CO2, J. Appl. Physiol., 25: 463.Google Scholar
  46. Huszczuk, A., 1970, A respirator pump controlled by phrenic nerve activity, J. Physiol., 210: 183 P.Google Scholar
  47. Isermann, R., and Lackmann, K. H., 1982. On the development and implementation of parameter-adaptive controllers, in: “Software for Computer Control 1982”, G. Ferrate and E. A. Punte, eds., Pergamon, Oxford.Google Scholar
  48. Jackson, R. V., Lore, J. B., Parkin, W. G., Wahlqvist, M. L., and Williams, N. S., 1977, Use of a microprocessor in the control of malignant hypertension with sodium nitroprusside, Aust. N.Z. J. Med., 7: 414.PubMedGoogle Scholar
  49. Jaeger, R. J., and Kraij, A., 1983, Studies in functional electrical stimulation for standing and forward progression, in “Proc. 6th Annu. Conf. on Rehabilitation Engineering, San Diego”: 75.Google Scholar
  50. Jain, V., and Guha, S. K., 1972, A control system for long term ventilation of the lungs, IEEE Trans. Biomed. Eng., BME-9: 47.Google Scholar
  51. Jelliffe, R. W., Buell, J., Kalaba, R., Sridhar, R., and Rockwell,R., 1970, A computer program for digitalis dosage regimens, Math. Biosci., 9: 179.CrossRefGoogle Scholar
  52. Jelliffe, R. W., Buell, J., and Kalaba, R., 1972, Reduction of digitalis toxicity by computer-assisted glycoside dosage regi- mens, Ann. Int. Med., 77: 891.PubMedGoogle Scholar
  53. Jelliffe, R. W., Rodman, J., and Kolb, E., 1976, Clinical studies with computer-assisted lidocaine infusion regimens, Circulation, 54: 211.Google Scholar
  54. Jelliffe, R. W., D’Argenio, D. Z., Rodman, J., and Schumitzky, A., 1981a, A time shared computer program for adaptive control of lidocaine therapy, with optimal strategy for monitoring serum concentrations, Clin. Res., 29: 81A.Google Scholar
  55. Jelliffe, R. W., Bernard, B., Garcia-Cazares, S., Jelliffe, P., and Placone, R., 1981b, A computer program for adaptive control of gentamicin dosage in newborns, Clin. Res., 29: 108A.Google Scholar
  56. Jordan, W. S., and Westenskow, D. R., 1979, Microprocessor control of ventilation using carbon dioxide production, Anesthesiology, 51: S380.CrossRefGoogle Scholar
  57. Kadish, A. H., 1964, Automated control of blood sugar. A servo-mechanism for glucose monitoring and control, Am. J. Med. Elec., 3: 82.Google Scholar
  58. Kaplan, N. M., 1978, “Clinical Hypertension”, Williams and Wilkins, Baltimore.Google Scholar
  59. Kaufman, H., and Roy, R., 1983, Model reference adaptive control of drug infusion rate, in: “Identification and System Parameter Estimation 1982”, G. A. Bekey and G. W. Saridis, eds., Pergamon, Oxford:216.Google Scholar
  60. Kawakami, Y., Yoshikawa, T., and Asanuma, Y., 1981, A control system for arterial blood gases, J. Appl. Physiol., 50: 1362.PubMedGoogle Scholar
  61. Keviczky, L., and Kumar, K. S. P., 1981, On the applicability of certain optimal control methods, in: “Proc. 8th IFAC World Congress”, H. Akashi, ed., Pergamon, Oxford.Google Scholar
  62. Kiersey, D. K., Faulconer, A., and Bickford, R. G., 1954, Automatic electro-encephalographic control of thiopental anesthesia, Anesthesiology, 15: 356.PubMedCrossRefGoogle Scholar
  63. Koch-Weser, J., 1974, Hypertensive emergencies, N. Eng. J. Med., 290: 211.CrossRefGoogle Scholar
  64. Koivo, A. J., 1980, Automatic continuous-time blood pressure control in dogs by means of hypotensive drug injection, IEEE Trans. Biomed. Eng., BME-27: 574.CrossRefGoogle Scholar
  65. Koivo, A. J., Smollen, V. F., and Barile, R. V., 1978, An automated drug administration system to control blood pressure in rabbits, Math. Biosci. 38: 45.CrossRefGoogle Scholar
  66. Koivo, A. J., Lanard, D., and Gray, R., 1980, Automated blood pressure control in dogs using a microprocessor, in: “Proc. 1980 Internat. Symp. on Circuits and Systems, Pt. II”, IEEE, New York;474.Google Scholar
  67. Kralj, A., and Grobelnik, S., 1973, Functional electrical stimulation: a new hope for paraplegic patients ?,Bull. Prosthet. Res., 20: 75.Google Scholar
  68. Kralj, A., Bajd, T., and Turk, R., 1980, Electrical stimulation providing functional use of paraplegic patient muscles, Med. Prog. Technol., 7: 3.PubMedGoogle Scholar
  69. Kwakernaak, H., and Sivan, R., 1972, “Linear Optimal Control Systems”, Wiley, New York.Google Scholar
  70. Lampard, D. G., Coles, J. R., and Brown, W. A., 1973, Computer control of respiration and anesthesia, Austr. J. Exp. Biol. Med. Sci., 51: 275.CrossRefGoogle Scholar
  71. Layne, E. C., Schulz, R. D., Thomas, J. J., Slama, G., Sayler, D. F. and Bessman, S. P., 1976, Continuous extracorporeal monitoring of animal blood using the glucose electrode, Diabetes, 25: 81.PubMedCrossRefGoogle Scholar
  72. Lee, K. H., and Johnston, R., 1976, Electrically induced flexion reflex in gain training of hemiplegic patients: induction of the reflex, Arch. Phys. Med. Rehabil., 57: 311.PubMedGoogle Scholar
  73. Liberson, W. T., Holmquest, H. J., and Scott, D., 1961, Functional electrotherapy: stimulation of the peroneal nerve synchronized with the swing phase of the gait of hemiplegic patients, Arch. Phys. Med. Rehabil., 42: 101.PubMedGoogle Scholar
  74. Lim, F., and Sun, A. M., 1980, Microencapsulated islets as bio-artificial endocrine pancreas, Science, 210: 980.CrossRefGoogle Scholar
  75. Ljung, L., 1979, Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems, IEEE Trans. Automat. Contr., AC-24: 36.CrossRefGoogle Scholar
  76. Mclnnis, B., Wang, J. C., and Goodwin, G. C., 1982, Adaptive control system for the artificial heart, in.: “Proc. 4th Annu. IEEE Conf. on Frontiers of Engineering in Health Care”, IEEE, New York: 121.Google Scholar
  77. McNally, R. T., and Engelman, K., 1978, Controlled reduction in blood pressure through an automated drug infusion system, in: “Cardiovascular System Dynamics”, J. Baan, A. Noordergraff and J. Rainer, eds., MIT Press, Cambridge, MA.:458.Google Scholar
  78. Marmarelis, P. Z., and Marmarelis, V. Z., 1978, “Analysis of Physio-logical Systems: The White-Noise Approach”, Plenum, New York.Google Scholar
  79. Marsolais, E. B., and Kobetic, R., 1983, Functional walking in paralyzed patients by means of electrical stimulation, Clin, Orthop,, May(175): 30.Google Scholar
  80. Marsolais, E. B., Kobetic, R., Cochoff, G. F., and Peckham, P. H., 1983, Reciprocal walking in paraplegic patients using internal functional electrical stimulation, in: “Proc. 6th Annu. Conf. on Rehab. Eng., San Diego”:78.Google Scholar
  81. Martin, P., and Genuth, S., 1977, Normalization of insulin delivery to diabetics by pulsed insulin infusion, IEEE Trans. Biomed. Eng., BME-26: 116.CrossRefGoogle Scholar
  82. Maugh II, T. H., 1975, Diabetes thereapy: can new techniques halt complications?, Science, 190: 1281.Google Scholar
  83. Mitamura, Y., Mikami, T., Sugawara, H., and Yoshimoto, C., 1971, An optimally controlled respirator, IEEE Trans. Biomed. Eng., BME-18: 330.CrossRefGoogle Scholar
  84. Moritz, W. E., Colocousis, J. S., McLain, P., and Barnes, S., 1977, Closed loop fluid resuscitation for burn patients using a microprocessor, in: “Proc. 30th Annu. Conf. on Eng. in Med. and Biol.”, Alliance for Engineering in Medicine and Biology, Bethesda, MD:119.Google Scholar
  85. Mortimer, J. T., Kaufman, D., and Roessmann, U., 1980, Intramuscular electrical stimulation: tissue damage, Ann. Biomed. Eng., 8: 235.PubMedCrossRefGoogle Scholar
  86. Mushin, W. W., Rendell-Baker, L., Thompson, P. W., and Mapleson, W. W., 1980, “Automatic Ventilation of the Lungs” (3rd Ed.) Blackwell, Oxford.Google Scholar
  87. O’Reilly, R., 1980, Anticoagulant, antithrombic and thrombolytic drugs, in: “The Pharmacological Basis of Therapeutics”, A, G. Gilman, L. S. Goodman and A. Gilman, eds., Macmillan, New York: 1347.Google Scholar
  88. Peckham, P. H., 1983, Restoration of upper extremity function, IEEE Eng. in Med. and Biology Magazine, Sept.: 30.Google Scholar
  89. Peckham, P. H., and Mortimer, J. T., 1977, Restoration of hand function in the quadriplegic through electrical stimulation, in: “Functional Electrical Stimulation: Applications in Neural Prostheses”, F. T. Hambrecht and J. B. Reswick, eds., Marcel Dekker, New York.Google Scholar
  90. Peckham, P. H., Mortimer, J. T., and Marsolais, E. B., 1980a, Controlled prehension and release in the C5 quadriplegic elicited by functional electrical stimulation of the paralyzed forearm musculature, Ann. Biomed. Eng., 8: 369.CrossRefGoogle Scholar
  91. Peckham, P. H., Mortimer, J. T., and Marsolais, E.B., 1980b, Restoration of key grip and release in the C6 tetraplegic patient through functional electrical stimulation, J. Hand. Surg., 5: 462.Google Scholar
  92. Peterka, V., 1975, A square-root filter for real-time multivariable regression, Kybernetica, 11: 53.Google Scholar
  93. Petrofsky, J. S., 1983, Electrostimulation and paralyzed muscles, in: “Proc. IEEE Conf. Eng. in Med. and Biol.”, IEEE, New York:721.Google Scholar
  94. Pfeiffer, E. F., Thurm, C., and Clemens, A. H., 1974, The artificial beta cell. A continuous control of blood sugar by external regulation of insulin infusion, Horm. Metab. Res., 6: 339.PubMedCrossRefGoogle Scholar
  95. Powers, W. F., Abbrecht, P. H., and Covell, D. G., 1980, Systems and microcomputer approach to anticoagulant therapy, IEEE Trans. Biomed. Eng., BME-27: 520.CrossRefGoogle Scholar
  96. Remmers, J. E., and Gauitier, H., 1976, Servo respirator constructed from a positive-pressure ventilator, J. Appl. Physiol., 41: 252.PubMedGoogle Scholar
  97. Rizza, R. A., Gerich, J. E., Haymond, M. W., Westland, R. E., Halb, L. D., Clemens, A. H., and Service, F. J., 1980, Control of blood sugar in insulin-dependent diabetes: comparison of an artificial endocrine pancreas, continuous subcutaneous insulin infusion, and intensified conventional insulin therapy, New Engl. J. Med., 303: 1313.PubMedCrossRefGoogle Scholar
  98. Rodman, J., Tuey, D., de Guzman, M., Haywood, L. J., and Jelliffe, R. W., 1979, Clinical evaluation of a pharmacokinetic program for improving lidocaine dosage regimens, Clin. Pharmacol. Ther., 25: 245.Google Scholar
  99. Rohrs, C. E., 1982, “Adaptive Control in the Presence of Unknown Dynamics”, Ph.D. Thesis, MIT, Cambridge, MA.Google Scholar
  100. Rohrs, C. E., 1983, A frequency selective adaptive controller, in: “Proc. 22nd Conf. on Decision and Control”, San Antonio:991.Google Scholar
  101. Rohrs, C. E., Athans, M., Valavani, L., and Stein, G., 1984, Some design guidelines for discrete-time adaptive controllers, in: “Proc. 9th IFAC World Congress”, Pergamon, Oxford.Google Scholar
  102. Roy, F. J., 1982, Adaptive cardiovascular control using multiple drug infusions, in: “Proc. 4th Annu. IEEE Conf. on Frontiers of Engineering in Health Care”, IEEE, New York:459.Google Scholar
  103. Schade, C. M., 1983, An automatic therapeutic control system for regulating blood pressure, Proc. San Diego Biomed. Symp., 12: 47.Google Scholar
  104. Schulz, V., Ulmer, H. V., and Erdmann, W., 1974, Ein Verfahren zur PaCO2-geregelten automatischen Ventilation, Pneumonologie, 150: 319.PubMedCrossRefGoogle Scholar
  105. Schumitzky, A., Jelliffe, R. W., D’Argenio, D., Rodman, J., and Crone, J., 1977, A computer program for adaptive control of dosage regimens requiring complex pharmacokinetic models, in: “Proc. 30th Annu. Conf. on Eng. in Med. and Biol.”, Alliance for Engineering in Medicine and Biology, Bethesda, MD:195.Google Scholar
  106. Serna, V., Roy, R., and Kaufman, H., 1983, Adaptive control of multiple drug infusions, in: “Proc. Joint Automat. Contr. Conf.”, American Automatic Control Council, New York.Google Scholar
  107. Sheiner, L. B., 1969, Computer-aided long term anticoagulation therapy, Comput. Biomed. Res., 2: 507.PubMedCrossRefGoogle Scholar
  108. Sheiner, L. B., Rosenberg, B., and Melmon, K. L., 1972, Modelling of individual pharmacokinetics for computer-aided dosage, Comput. Biomed. Res., 5: 441.CrossRefGoogle Scholar
  109. Sheiner, L. B., Halkin, H., Peck, C., Rosenberg, B., and Melmon, K. L., 1975, Improved computer-aided digoxin therapy, Ann. Intern. Med., 82: 619.PubMedGoogle Scholar
  110. Sheppard, L. C., Kouchoukos, N. T., Kurtts, M. A., and Kirklin, J. W., 1968, Automated treatment of critically ill patients following operation, Ann. Surg., 168:596,PubMedCrossRefGoogle Scholar
  111. Sheppard, L. C., and Kirklin, J. W., 1974, Cardiac surgical intensive care computer system, Fed. Proc., 33: 2326.PubMedGoogle Scholar
  112. Sheppard, L. C., and Sayers, B. McA., 1977, Dynamic analysis of the blood pressure response to hypotensive agents, studied in post-operative cardiac surgical patients, Comput. Biomed. Res., 10: 237.PubMedCrossRefGoogle Scholar
  113. Sheppard, L. C., Shotts, J. F., Roberson, N. F., Wallace, F. D., and Kouchoukos, N. T., 1979, Computer controlled infusion of vasoactive drugs in post cardiac surgical patients, in: “Proc. 1st Annu. IEEE Conf. on Frontiers of Engineering in Health Care”, IEEE, New York:280.Google Scholar
  114. Sheppard, L. C., 1980, Computer control of the infusion of vasoactive drugs, Ann. Biomed. Eng., 8: 431.PubMedCrossRefGoogle Scholar
  115. Slate, J. B., and Sheppard, L. C., 1982, Automatic control of blood pressure by drug infusion, Proc. IEE (Part A), 129: 639.Google Scholar
  116. Slate, J. B., Sheppard, L. C., Rideout, V. C., and Blackstone, E. H., 1980, Closed-loop nitroprusside infusion: modeling and control theory for clinical application, in: “Proc. 1980 Internat. Symp. on Circuits and Systems, Pt. II”, IEEE, New York:482.Google Scholar
  117. Smith, D. M., Mercer, R. R., and Eldridge, F. L., 1978, Servo control of end-tidal CO2 in paralyzed animals, J. Appl. Physiol., 45: 133.PubMedGoogle Scholar
  118. Smith, N. T., Flick, J. T., and Quinn, M., 1977, A controller for automatic infusion of Na nitroprusside. Does it perform as well as the anesthetist?, in: “Am. Soc. Anesth. Annu. Mtg.”: 691.Google Scholar
  119. Smolen, V., Barile, R., and Carr, D., 1979, Design and operation of a system for automatic feedback-controlled administration of drugs, Med. Dev. Diagn. Ind., 1: 55.Google Scholar
  120. Soeldner, J. S., Chang, K. W., Aisenberg, S., and Hiebert, J. M., 1973, Progress towards an implantable glucose sensor and an artificial beta cell, in: “Temporal Aspects of Therapeutics”, J. Urquhart and F. E. Yates, eds., Plenum, New York:181.Google Scholar
  121. Soltero, D. E., Faulconer, A., and Bickford, R. G., 1951, Clinical application of automatic anesthesia, Anesthesiology, 12: 574.PubMedCrossRefGoogle Scholar
  122. Spencer, W. J., 1981, A review of programmed insulin delivery systems, IEEE Trans. Biomed. Eng., BME-28: 237.CrossRefGoogle Scholar
  123. Stanic, U., and Trnkoczy, A., 1974, Closed-loop positioning of hemiplegic patient’s joint by means of functional electrical stimulation, IEEE Trans. Biomed. Eng., BME-21: 365.CrossRefGoogle Scholar
  124. Stanic, U., Acimovic-Janezic, R., Gros, N., Trnkoczy, A., Bajd, T., and Kajajic, M., 1978, Multi-channel electfical stimulation for correction of hemiplegic gait, Scand. J. Rehab. Med., 10: 75.Google Scholar
  125. Stern, K. S., 1983, “Automated Control of Blood Pressure in the Anesthetized Dog Using a Self-Tuning Controller”, Ph.D. Thesis, Case Western Reserve University.Google Scholar
  126. Stern, K. S., Walker, B. K., and Katona, P. G., 1981, Automated blood pressure control using a self-tuning regulator, in: “Proc. 3rd Annu. IEEE Conf. on Frontiers of Engineering in Health Care”, IEEE, New York:255.Google Scholar
  127. Stern, K. S., Chizeck, H. J., Walker, B. K., Krishnaprasad, P. S., Dauchot, P. J., and Katona, P. G., 1984, The self-tuning controller: comparison with human performance in the control of arterial pressure (to appear in Ann. Biomed. Eng.).Google Scholar
  128. Stoeckel, H., Schwilden, H., Lauven, P., and Schuttler, H., 1981, EEG indices for evaluation of depth of anesthesia: the median of frequency distribution, Brit. J. Anaesth. 53: 117 P.Google Scholar
  129. Suppan, P., 1972, Feedback monitoring in anaesthesia. II: Pulse rate control of halothane administration, Brit. J. Anaesth., 44: 1263.PubMedCrossRefGoogle Scholar
  130. Suppan, P., 1974, Feedback monitoring of anaesthesia. Ill: The control of halothane administration by respiratory patterns, Brit. J. Anaesth., 46: 829.PubMedCrossRefGoogle Scholar
  131. Suppan, P., 1977, Feedback monitoring in anaesthesia. IV: The indirect measurement of arterial pressure and its use for the control of halothane administration, Brit. J. Anaesth., 49: 141.PubMedCrossRefGoogle Scholar
  132. Swanson, G. D., Carpenter, T. M., Snider, D. E., and Bellville, J. W., 1971, An on-line hybrid computing system for dynamic- respiratory response studies, Comput. Biomed. Res., 4: 205.PubMedCrossRefGoogle Scholar
  133. Tamborlane, W. V., Hintz, R. L., Bergman, M., Genel, M., Felig, P., and Sherwin, R. S., 1981, Insulin-infusion-pump treatment of diabetes, N. Engl. J. Med., 305: 303.PubMedCrossRefGoogle Scholar
  134. Theofanous, T. G., and Barile, R. G., 1973, Multiple-dose kinetics of oral anticoagulants: methods of analysis and optimized dozing, J. Pharm. Sci., 62: 261.PubMedCrossRefGoogle Scholar
  135. Thornton, C. L., and Bierman, G.J., 1978, Filtering and error analysis via the UDU covariance factorization, IEEE Trans. Automat. Contr., AC-23: 901.CrossRefGoogle Scholar
  136. Trnkoczy, A., 1974, Variability of electrically evoked muscle con-tractions with special regard to closed-loop controlled orthosis, Ann. Biomed. Eng., 2: 226.CrossRefGoogle Scholar
  137. Trnkoczy, A., 1978, Functional electrical stimulation of extremities: its basis, technology and role in rehabilitation, Automedica, 2: 59.Google Scholar
  138. Vance, R., Kobetic, R., Marsolais, E. B., and Chizeck, H. J., 1983, Portable microprocessor-controlled stimulator for activation of paralyzed muscles, in: “Proc. 23rd Internat. Symp. Mini and Microcomputers and their Applications, San Antonio”:101.Google Scholar
  139. Vodovnik, L., Crochetiere, W. J., and Reswick, J. B., 1967, Control of a skeletal joint by electrical stimulation of antagonists, Med. Biol. Eng., 5: 97.PubMedCrossRefGoogle Scholar
  140. Wald, A., Murphy, T. W., and Mazzia, V. D. B., 1968, A theoretical study of controlled ventilation, IEEE Trans. Biomed. Eng., BME-15: 237.CrossRefGoogle Scholar
  141. Waters, R., McNeal, D., and Perry, J., 1975, Experimental correction of footdrop by electrical stimulation of peroneal nerve, Bone Joint Surg., 57-A: 1047.Google Scholar
  142. Westenskow, D. R., Bowman, R. J., Ohlson, K. B., and Raemer, D.B., 1980, Microprocessors in intensive care medicine, Med. Instrum. 14: 311.PubMedGoogle Scholar
  143. Wiegman, H., and Vossepoel, A. M., 1977, A computer program for long term anticoagulation control, Comput. Prog. Biomed., 7: 71.CrossRefGoogle Scholar
  144. Wilhere, G. F., Crago, P. E., and Chang, R. C., 1983, A discrete- time servomechanism for the regulation of force and position during functional neuromuscular stimulation, in: “Control Aspects of Prosthetics and Orthotics”, R. M. Campbell, ed., Pergamon, New York:10.Google Scholar
  145. Woo, J. L., and Rootenberg, J., 1975, Analysis and simulation of an adaptive system for forced ventilation of the lungs, IEEE Trans. Biomed. Eng., BME-22: 400.CrossRefGoogle Scholar
  146. Yamashiro, S. M., and Grodins, F. S., 1971, Optimal regulation of respiratory air flow, J. Appl. Physiol., 30: 597.PubMedGoogle Scholar
  147. Zinman, B., Stokes, E. F., Albisser, A. M., Hanna, A. K., Minuk, H. L., Stein, A.N., Leibel, B. S., and Marliss, E.B., 1979, The metabolic response to glycemic control by the artificial pancreas in diabetic man, Metabolism, 28: 511.PubMedCrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1985

Authors and Affiliations

  • H. J. Chizeck
  • P. G. Katona

There are no affiliations available

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