Support vector machine classification of multi-channel EEG traces: A new tool to analyze the brain response to morphine treatment

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 992-995

  Graversen, Carina ^a   Drewes, Asbjørn Mohr ^a   Farina, Dario ^b  

^a AALBORG UNIVERSITY HOSPITAL   (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ANALGESIC EFFECT; BRAIN RESPONSE; DISCRETE WAVELETS; DISCRIMINATIVE FEATURES; DRUG ADMINISTRATION; ELECTRICAL STIMULATIONS; EVOKED POTENTIALS; MARGINALS; MULTI-CHANNEL; NEW APPROACHES; OBJECTIVE METHODS; PAIN RELIEF; SINGLE-CHANNEL; SUPPORT VECTOR MACHINE CLASSIFICATION;

ELECTROPHYSIOLOGY;

SUPPORT VECTOR MACHINES;

MORPHINE; NARCOTIC ANALGESIC AGENT;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED DRUG THERAPY; DRUG EFFECT; ELECTROENCEPHALOGRAPHY; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; PAIN; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; YOUNG ADULT;

ADULT; ALGORITHMS; ANALGESICS, OPIOID; ARTIFICIAL INTELLIGENCE; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; DRUG THERAPY, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; MALE; MIDDLE AGED; MORPHINE; PAIN; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; YOUNG ADULT;

EID: 78650806407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627820     Document Type: Conference Paper

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