The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients

Artificial Intelligence in Medicine

Volumn 59, Issue 2, 2013, Pages 81-90

  Pokorny, Christoph ^a   Klobassa, Daniela S ^a   Pichler, Gerald ^b   Erlbeck, Helena ^c   Real, Ruben G L ^c   Kübler, Andrea ^c   Lesenfants, Damien ^d   Habbal, Dina ^d   Noirhomme, Quentin ^d   Risetti, Monica ^e   Mattia, Donatella ^e   Müller Putz, Gernot R ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b Department of Medical Geriatrics   (Austria)

^c UNIVERSITY OF WÜRZBURG   (Germany)

^d UNIVERSITY OF LIÈGE   (Belgium)

^e IRCCS FONDAZIONE SANTA LUCIA   (Italy)

Author keywords

Auditory P300; Brain computer interface; Clinical assessment; Minimally conscious state; Tone stream segregation

Indexed keywords

AUDITORY P300; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CLINICAL ASSESSMENTS; METHODS AND MATERIALS; MINIMALLY CONSCIOUS STATE; STEPWISE LINEAR DISCRIMINANT ANALYSIS; STREAM SEGREGATION;

ARTIFICIAL INTELLIGENCE; MEDICINE;

BRAIN COMPUTER INTERFACE;

ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; CLINICAL ARTICLE; CLINICAL ASSESSMENT; COMPUTER; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; MINIMALLY CONSCIOUS STATE; PRIORITY JOURNAL;

AUDITORY P300; BRAIN-COMPUTER INTERFACE; CLINICAL ASSESSMENT; MINIMALLY CONSCIOUS STATE; TONE STREAM SEGREGATION;

ACOUSTIC STIMULATION; ADULT; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; FEMALE; HUMANS; MALE; PERSISTENT VEGETATIVE STATE;

EID: 84886789140     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.07.003     Document Type: Article

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