Derived fuzzy knowledge model for estimating the depth of anesthesia

IEEE Transactions on Biomedical Engineering

Volumn 48, Issue 3, 2001, Pages 312-323

  Zhang, Xu Sheng ^a,b   Roy, Rob J ^a,b,c  

^a IEEE   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c ALBANY MEDICAL CENTER   (United States)

Author keywords

ANFIS; Approximate entropy (ApEn); Complexity analysis; Depth of anesthesia; Electroencephalogram (EEG); Fuzzy logic

Indexed keywords

FUZZY KNOWLEDGE MODELS;

ELECTROENCEPHALOGRAPHY; FUZZY SETS;

ANESTHESIOLOGY;

HALOTHANE; ISOFLURANE; PROPOFOL;

ANESTHESIA LEVEL; ANIMAL EXPERIMENT; ARTICLE; DOG; ELECTROENCEPHALOGRAPHY; ENTROPY; MODEL; NONHUMAN; SLEEP WAKING CYCLE;

ALGORITHMS; ANESTHESIA; ANIMALS; COMPUTER SIMULATION; DOGS; ELECTROENCEPHALOGRAPHY; FUZZY LOGIC; HALOTHANE; ISOFLURANE; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; MOVEMENT; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; ONLINE SYSTEMS; PREDICTIVE VALUE OF TESTS; PROPOFOL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0035090998     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.914794     Document Type: Article

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