Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.
Michele Lo GiudiceGiuseppe VaroneCosimo IeracitanoNadia MammoneGiovanbattista Gaspare TripodiEdoardo FerlazzoSara GaspariniUmberto AgugliaFrancesco Carlo MorabitoPublished in: Entropy (2022)
Keyphrases
- epileptic seizures
- neural network model
- network architecture
- neural network
- eeg signals
- brain activity
- artificial neural networks
- neural models
- human subjects
- bp neural network
- eeg data
- brain computer interface
- multilayer perceptron
- multi layer perceptron
- feature selection
- machine learning
- positive and negative
- medical images
- ground truth
- k means
- radial basis function network
- face recognition
- decision making
- motor imagery