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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...
Autores principales: | Gagliano, Laura, Bou Assi, Elie, Nguyen, Dang K., Sawan, Mohamad |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821856/ https://www.ncbi.nlm.nih.gov/pubmed/31666621 http://dx.doi.org/10.1038/s41598-019-52152-2 |
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