Classifying EEG and ECoG signals without subject training for fast BCI implementation: Comparison of nonparalyzed and completely paralyzed subjects

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 14, Issue 2, 2006, Pages 183-186

  Hill, N Jeremy ^a   Lal, Thomas Navin ^a   Schröder, Michael ^b   Hinterberger, Thilo ^b   Wilhelm, Barbara ^b   Nijboer, Femke ^b   Mochty, Ursula ^b   Widman, Guido ^c   Elger, Christian ^c   Schölkopf, Bernhard ^a   Kübler, Andrea ^b   Birbaumer, Niels ^b,d  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c UNIVERSITY OF BONN   (Germany)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Amyotrophic Lateral Sclerosis (ALS); Brain; Brain computer interface (BCI); Computer interface human factors; Electrocorticography; Electroencephalography; Locked in state; Paralysis; Pattern classification

Indexed keywords

ELECTROENCEPHALOGRAPHY; HUMAN COMPUTER INTERACTION; LEARNING SYSTEMS; PATTERN RECOGNITION; SIGNAL PROCESSING;

AMYOTROPHIC LATERAL SCLEROSIS (ALS); BRAIN-COMPUTER INTERFACE (BCI); COMPUTER INTERFACE HUMAN FACTORS; ELECTROCORTICOGRAPHY; LOCKED-IN STATE; PARALYSIS;

INTERFACES (COMPUTER);

ADULT; AMYOTROPHIC LATERAL SCLEROSIS; BRAIN DEPTH RECORDING; BRAIN FUNCTION; CLASSIFICATION; CLINICAL ARTICLE; COMA; COMMUNICATION AID; COMMUNICATION DISORDER; COMPUTER INTERFACE; CONFERENCE PAPER; CONTROLLED STUDY; DISABILITY; ELECTROCORTICOGRAPHY; ELECTROENCEPHALOGRAM; FEMALE; GUILLAIN BARRE SYNDROME; HUMAN; IMAGERY; MALE; MOTOR PERFORMANCE; PARALYSIS; PRIORITY JOURNAL; STROKE; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPARATIVE STUDY; CONTROLLED CLINICAL TRIAL; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; HUMAN COMPUTER INTERACTION; IMAGINATION; METHODOLOGY; MIDDLE AGED; PATHOPHYSIOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER USER TRAINING; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; IMAGINATION; MALE; MIDDLE AGED; PARALYSIS; PATTERN RECOGNITION, AUTOMATED; USER-COMPUTER INTERFACE;

EID: 33746457942     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2006.875548     Document Type: Conference Paper

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