Using a chain of LVQ neural networks for pattern recognition of EEG signals related to intermittent photic-stimulation

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2002-January, Issue , 2002, Pages 173-177

  Kugler, M ^a   Lopes, H S ^a  

^a Federal Center for Technological Education of Paraná CEFET PR   (Brazil)

Author keywords

Artificial neural networks; Biological neural networks; Electrodes; Electroencephalography; Neural networks; Pattern recognition; Real time systems; Signal analysis; Signal processing; Spectrogram

Indexed keywords

CHAINS; COMPLEX NETWORKS; ELECTRODES; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; REAL TIME SYSTEMS; SIGNAL ANALYSIS; SIGNAL PROCESSING; SPECTROGRAPHS;

BIOLOGICAL NEURAL NETWORKS; COMPLEX SIGNAL; EEG SIGNALS; ELECTROENCEPHALOGRAPHIC SIGNALS; LVQ NEURAL NETWORK; PHOTIC STIMULATION; SIGNAL/NOISE RATIO; SPECTROGRAMS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84901653472     PISSN: 15224899     EISSN: None     Source Type: Journal    
DOI: 10.1109/SBRN.2002.1181465     Document Type: Article

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