DocumentCode :
702213
Title :
Regulation of hemodynamic and anesthetic states
Author :
Zhang, Xu-Sheng ; Roy, Rob ; Aufderheide, Brian ; Rao, Ramesh R. ; Bequette, B.Wayne
Author_Institution :
Siemens Corp., Danvers, MA
fYear :
2003
fDate :
1-4 Sept. 2003
Firstpage :
2441
Lastpage :
2446
Abstract :
Two important monitoring and control topics in critical care are discussed. A multiple-model predictive control approach is used to regulate blood pressure and cardiac output by manipulating the infusion rate of two drugs. Depth of anesthesia is estimated by integrating the complexity, regularity, and spectral entropy information of EEG using an adaptive network based fuzzy inference system (ANFIS). Results based on animal experiments are presented.
Keywords :
Anesthesia; Brain modeling; Complexity theory; Direction-of-arrival estimation; Drugs; Electroencephalography; Entropy; Anesthesia; Blood Pressure; Complexity Analysis; Multiple Model Predictive Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
Type :
conf
Filename :
7085332
Link To Document :
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