Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram

The electroencephalogram (EEG) is a cornerstone of neurophysiological research and clinical neurology. Historically, the classification of EEG as showing normal physiological or abnormal pathological activity has been performed by expert visual review. The potential value of unbiased, automated EEG...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Nejedly, P., Kremen, V., Sladky, V., Cimbalnik, J., Klimes, P., Plesinger, F., Viscor, I., Pail, M., Halamek, J., Brinkmann, B. H., Brazdil, M., Jurak, P., Worrell, G.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6684807/
https://ncbi.nlm.nih.gov/pubmed/31388101
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-47854-6
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