Hidden conditional random fields for classification of imaginary motor tasks from EEG data

European Signal Processing Conference

Volumn , Issue , 2011, Pages 1377-1381

  Delgado Saa, Jaime F ^a,b   Çetin, Müjdat ^a  

^a SABANCI UNIVERSITY   (Turkey)

^b UNIVERSIDAD DEL NORTE   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-REGRESSIVE; BRAIN SIGNALS; BRAIN STATE; CLASSIFICATION ACCURACY; EEG SIGNALS; FEATURE SELECTION METHODS; FREQUENCY-BAND SELECTION; GENERATIVE MODEL; GRAPHICAL MODEL; HIDDEN CONDITIONAL RANDOM FIELDS; INFERENCE ALGORITHM; LATENT VARIABLE; MOTOR ACTIVITY; MOTOR CORTEX; MOTOR TASKS; STATISTICAL MODELS; TIME-FREQUENCY REPRESENTATIONS; TRAINING DATA;

BRAIN MODELS; CONTENT BASED RETRIEVAL; ELECTROPHYSIOLOGY; FREQUENCY BANDS; INFERENCE ENGINES; PATIENT REHABILITATION; RANDOM PROCESSES; SIGNAL PROCESSING;

BRAIN COMPUTER INTERFACE;

EID: 84863732147     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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