Title :
A genetic-based controller for automatic control of induced paralysis
Author :
Behbehani, Khosrow ; Mokhtar, Jeffrey ; Klein, Kevin W.
Author_Institution :
Biomed. Eng., Texas Univ., Arlington, TX, USA
Abstract :
This paper presents a model-base controller for control of induced paralysis during surgery. The controller relies on genetic optimization algorithm for estimating the response model parameters as well as computing the necessary infusion rates
Keywords :
biocontrol; controllers; genetic algorithms; muscle; parameter estimation; physiological models; surgery; anesthesiologist´s burden reduction; automatic control; automatic feedback; cost function optimization; genetic-based controller; induced paralysis; model-base controller; necessary infusion rate computation; neuromuscular blockade drugs; vecuronium bromide; Automatic control; Biomedical engineering; Cost function; Delay effects; Drugs; Genetics; Parameter estimation; Predictive models; Signal to noise ratio; Yttrium;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575334
