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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Veröffentlicht in:Scientific reports 2019-10, Vol.9 (1), p.15649-9, Article 15649
Hauptverfasser: Gagliano, Laura, Bou Assi, Elie, Nguyen, Dang K., Sawan, Mohamad
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Sprache:eng
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