Fusion of classic P300 detection methods' inferences in a framework of fuzzy labels

Artificial Intelligence in Medicine

Volumn 44, Issue 3, 2008, Pages 247-259

  Salimi Khorshidi, Gholamreza ^a,b,d   Nasrabadi, Ali Motie ^c   Golpayegani, Mohammadreza Hashemi ^d  

^a INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c SHAHED UNIVERSITY   (Iran)

^d AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Brain computer interface (BCI); Classification; Event related potentials (ERP); Fuzzy information fusion; Fuzzy rule base; P300; Peak picking; Template matching

Indexed keywords

ARCH BRIDGES; COMBINES; DATA FUSION; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FUSION REACTIONS; FUZZY RULES; FUZZY SETS; LEARNING SYSTEMS; OPTICAL SENSORS; PROBLEM SOLVING; SIGNAL DETECTION; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; TEMPLATE MATCHING; TIME SERIES ANALYSIS;

BRAIN-COMPUTER INTERFACE (BCI); CLASSIFICATION; EVENT-RELATED POTENTIALS (ERP); FUZZY INFORMATION FUSION; P300; PEAK PICKING;

INTERFACES (COMPUTER);

ACCURACY; ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; FUZZY SYSTEM; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; SIGNAL DETECTION; STIMULUS RESPONSE;

BRAIN; ELECTRODES; ELECTROENCEPHALOGRAPHY; FUZZY LOGIC; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 55749099809     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.06.002     Document Type: Article

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