EEG signal classification method based on fractal features and neural network

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 3880-3883

  Phothisonothai, Montri ^a   Nakagawa, Masahiro ^b  

^a BURAPHA UNIVERSITY   (Thailand)

^b NAGAOKA UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHMS; BRAIN COMPUTER INTERFACE; CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; FEEDFORWARD NEURAL NETWORKS; FRACTAL DIMENSION; IMAGE ENHANCEMENT; MULTILAYER NEURAL NETWORKS;

CLASSIFICATION RATES; COMPLEXITY MEASURES; CONVENTIONAL METHODS; DETRENDED FLUCTUATION ANALYSIS; EEG SIGNAL CLASSIFICATION; EFFECTIVE ALGORITHMS; ELECTROENCEPHALOGRAM SIGNALS; FEATURE PARAMETERS;

BIOMEDICAL SIGNAL PROCESSING;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN MAPPING; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; FRACTAL ANALYSIS; HUMAN; METHODOLOGY; PSYCHOTHERAPY; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ADULT; ALGORITHMS; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; FRACTALS; HUMANS; IMAGERY (PSYCHOTHERAPY); MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 61849096204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650057     Document Type: Conference Paper

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