CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection
Author:
Affiliation:
1. Ryerson University,Department of Computer Science
2. School of Electrical and Computer Engineering, Ben-Gurion University of the Negev
3. School of Biomedical Engineering, University of Western Ontario
Funder
Natural Sciences and Engineering Research Council of Canada
Canada Foundation for Innovation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746730.pdf?arnumber=9746730
Reference28 articles.
1. A 1D-CNN-Spectrogram Based Approach for Seizure Detection from EEG Signal
2. Application of 1-D CNN to Predict Epileptic Seizures using EEG Records
3. A comparison of deep neural networks for seizure detection in EEG signals;boonyakitanont;BioRxiv,2019
4. Deep Learning Enabled Automatic Abnormal EEG Identification
5. Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network
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3. Machine Learning based Epileptic Seizure Detection from EEG Signal: Bangladesh Perspective;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07
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