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