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Bispectrum and Recurrent Neural Networks: Improved Classification of Interictal and Preictal States

This work proposes a novel approach for the classification of interictal and preictal brain states based on bispectrum analysis and recurrent Long Short-Term Memory (LSTM) neural networks. Two features were first extracted from bilateral intracranial electroencephalography (iEEG) recordings of dogs...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Sci Rep
Hauptverfasser: Gagliano, Laura, Bou Assi, Elie, Nguyen, Dang K., Sawan, Mohamad
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6821856/
https://ncbi.nlm.nih.gov/pubmed/31666621
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-52152-2
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