Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 16, Issue 4, 2008, Pages 327-335

  Cao, Cheng ^a   Tutwiler, Richard Laurence ^a   Slobounov, Semyon ^b  

^a The Pennsylvania State University   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Electroencephalography (EEG); Feature selection; Mild traumatic brain injury (MTBI); Support vector machine (SVM)

Indexed keywords

AUTOMATIC INDEXING; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; ELECTROENCEPHALOGRAPHY; FREQUENCY BANDS; HEALTH; IMAGE RETRIEVAL; KETONES; LEARNING SYSTEMS; PARAMETER ESTIMATION; RISK ASSESSMENT; SENSITIVITY ANALYSIS; STATISTICAL TESTS; VECTORS;

ASSESSMENT TOOLS; AUTOMATIC CLASSIFICATION; BODY OF KNOWLEDGE; CLASSIFICATION ALGORITHMS; CLASSIFICATION MODELS; CLINICAL PRACTICES; EEG DATA; EEG RECORDINGS; EEG SIGNALS; ELECTROENCEPHALOGRAPHY (EEG); FEATURE SELECTION; FOOTBALL PLAYERS; HIGH SENSITIVITIES; LINEAR SVM; LONG-LASTING; MILD TRAUMATIC BRAIN INJURY (MTBI); MINIMAL REDUNDANCY; MODEL CALCULATIONS; MULTICHANNEL EEG; SUPPORT VECTOR MACHINE (SVM); SUPPORT-VECTOR MACHINE; TEST METHODS; UNIVARIATE;

SUPPORT VECTOR MACHINES;

ADULT; ARTICLE; ATHLETE; BRAIN CONCUSSION; CONTROLLED STUDY; DISEASE CLASSIFICATION; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RISK ASSESSMENT; SUPPORT VECTOR MACHINE; TRAUMATIC BRAIN INJURY;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATHLETIC INJURIES; BRAIN CONCUSSION; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 49649100868     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2008.918422     Document Type: Article

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