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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684807/
https://www.ncbi.nlm.nih.gov/pubmed/31388101
http://dx.doi.org/10.1038/s41598-019-47854-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684807/
https://www.ncbi.nlm.nih.gov/pubmed/31388101
http://dx.doi.org/10.1038/s41598-019-47854-6

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