A novel segmentation, mutual information network framework for EEG analysis of motor tasks

BioMedical Engineering Online

Volumn 8, Issue , 2009, Pages

  Wang, Z Jane ^a   Lee, Pamela Wen Hsin ^a   McKeown, Martin J ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; BEHAVIORAL PERFORMANCE; BRAIN CORTEX; BRAIN REGIONS; CONNECTIVITY PATTERN; DISEASE STATE; DYNAMIC BEHAVIORS; DYNAMIC MOTOR; EEG ANALYSIS; FUNCTIONAL CONNECTIVITY; INDEPENDENT COMPONENTS; LINEAR DEPENDENCY; MOTOR TASKS; MUTUAL INFORMATIONS; NETWORK METHODS; PARKINSON'S DISEASE; SEGMENTATION METHODS; SPECTROGRAM; STATIONARITY; STATISTICAL DEPENDENCIES; STATISTICALLY SIGNIFICANT DIFFERENCE; SYNCHRONOUS ACTIVITY; TEMPORAL DYNAMICS;

BRAIN; ELECTROENCEPHALOGRAPHY; INFORMATION SERVICES; MOTORS; REGRESSION ANALYSIS;

ANALYSIS OF VARIANCE (ANOVA);

ANALYSIS OF VARIANCE; ARTICLE; BRAIN FUNCTION; CLINICAL ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DYNAMICS; ELECTROENCEPHALOGRAPHY; FUNCTIONAL ASSESSMENT; HUMAN; MOTOR PERFORMANCE; NONLINEAR SYSTEM; PARKINSON DISEASE; STATISTICAL SIGNIFICANCE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVOKED MUSCLE RESPONSE; METHODOLOGY; MOTOR CORTEX; MOVEMENT (PHYSIOLOGY); NERVE CELL NETWORK; PHYSIOLOGY; TASK PERFORMANCE;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; MOTOR CORTEX; MOVEMENT; NERVE NET; PATTERN RECOGNITION, AUTOMATED; TASK PERFORMANCE AND ANALYSIS;

EID: 67049086557     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-8-9     Document Type: Article

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