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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

Chapter
Publication Date:
2023
Short description:
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, M., Mammone, N., Ieracitano, C., Aguglia, U., Mandic, D., Morabito, F.C.. - 360:(2023), pp. 207-214. [10.1007/978-981-99-3592-5_20]
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo
Authors of the University:
MORABITO Francesco Carlo
Mammone Nadia
Handle:
https://iris.unirc.it/handle/20.500.12318/143030
Book title:
Applications of Artificial Intelligence and Neural Systems to Data Science
Published in:
SMART INNOVATION, SYSTEMS AND TECHNOLOGIES
Series
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