Assessment of preprocessing on classifiers used in the P300 speller paradigm

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 1319-1322

  Mirghasemi, H ^c   Shamsollahi, M B ^a,c   Fazel Rezai, R ^a,b  

^a IEEE   (Canada)

^b UNIVERSITY OF MANITOBA   (Canada)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFACTS; FILTERING METHODS; P300 SPELLER PARADIGM; PREPROCESSING METHODS;

BANDPASS AMPLIFIERS; BIOMEDICAL ENGINEERING; DATA STRUCTURES; ELECTRODES; FEATURE EXTRACTION; RECORDING INSTRUMENTS;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EVALUATION STUDY; EVENT RELATED POTENTIAL; HUMAN; METHODOLOGY; PATTERN RECOGNITION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; HUMANS; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 34047168045     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259520     Document Type: Conference Paper

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