Monitoring the depth of anesthesia using entropy features and an artificial neural network

Journal of Neuroscience Methods

Volumn 218, Issue 1, 2013, Pages 17-24

  Shalbaf, Reza ^a   Behnam, Hamid ^a   Sleigh, Jamie W ^b   Steyn Ross, Alistair ^c   Voss, Logan J ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b WAIKATO HOSPITAL   (New Zealand)

^c UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Artificial neural network; Electroencephalogram (EEG); Monitoring the depth of anesthesia; Permutation entropy; Sample Entropy

Indexed keywords

DESFLURANE; PROPOFOL; SEVOFLURANE;

ACCURACY; ADULT; ANESTHESIA LEVEL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ENTROPY; HUMAN; NEUROMONITORING; PRIORITY JOURNAL;

ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM (EEG); MONITORING THE DEPTH OF ANESTHESIA; PERMUTATION ENTROPY; SAMPLE ENTROPY;

ADOLESCENT; ADULT; ANESTHETICS, INHALATION; BRAIN; ELECTROENCEPHALOGRAPHY; ENTROPY; FEMALE; HUMANS; INTRAOPERATIVE NEUROPHYSIOLOGICAL MONITORING; MALE; METHYL ETHERS; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); YOUNG ADULT;

EID: 84878718789     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.03.008     Document Type: Article

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