AUTOMATIC FEEDBACK CONTROLLED ANESTHESIA
Abstract
Automatic feedback control of the response to rapidly acting drugs can significantly improve the safety, reliability, and individualization of therapy. Systems for the automatic feedback-controlled administration of drugs (SAFCADs) have been developed and successfully demonstrated for intravenous (iv) thiopental anesthesia in rabbits. Analog, digital, and optimal-adaptive digital control systems with proportional and proportional-integral (P-I) control have been developed. Response to bolus iv doses of thiopental was modeled with the power-spectral density of multiple continuous samples of EEG. Random-input and continuous on-line modeling techniques were also developed. The digital-P-I (DPI) and analog-P-I (API) SAFCADs are ordinary control systems. The digital optimal-adaptive P-I (DOAPI) SAFCAD includes on-line modeling and modified Cohen-Coon optimal tuning. The administration systems were compared by the integral-squared-error (ISE) criterion. The administration systems in decreasing order of the quality of control of anesthesia were DOAPI, DPI, API, and constant infusion.
Degree
Ph.D.
Subject Area
Biomedical research
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