A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings
Capitolo di libro
Data di Pubblicazione:
2023
Citazione:
A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings / Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo. - 360:(2023), pp. 207-214. [10.1007/978-981-99-3592-5_20]
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Elenco autori:
Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo
Link alla scheda completa:
Titolo del libro:
Applications of Artificial Intelligence and Neural Systems to Data Science
Pubblicato in: