期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：3
页码：260-266
出版社：International Journal of Computer Science and Network Security
摘要：The current study presents the hard implementation of a learning Vector Quantization (LVQ) neural network. Starting from the spectral EEG analysis, we suggest an LVQ serial on-line architecture implementation on a Field programmable Gate Array (FPGA) circuit. Our concern was mainly to get a light, easy-to-wear system for the classification of vigilance levels in humans using EEG signals. The results of these classified states by LVQ mode are presented in this paper. Furthermore, the highly-satisfactory performances of our implementation in terms of area speed and delay are described.
关键词：LVQ neural network; on-line arithmetics; FPGA; EEG and vigilance
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