Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures

Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures

The use of a deep neural network scheme is proposed to help clinicians solve a difficult diagnosis problem in neurology. The proposed multilayer architecture includes a feature engineering step (from time-frequency transformation), a double compressing stage trained by unsupervised learning, and a c...

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Bibliographic Details
Main Authors: Sara Gasparini, Maurizio Campolo, Cosimo Ieracitano, Nadia Mammone, Edoardo Ferlazzo, Chiara Sueri, Giovanbattista Gaspare Tripodi, Umberto Aguglia, Francesco Carlo Morabito
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Entropy
Subjects:
psychogenic non-epileptic seizures
deep learning
stacked autoencoders
information theory
entropy
Online Access:http://www.mdpi.com/1099-4300/20/2/43

Internet

http://www.mdpi.com/1099-4300/20/2/43

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