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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Publicat a:Sci Rep
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2019
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Article
Accés en línia: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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