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Automated seizure detection and classification from electroencephalography (EEG) can greatly improve seizure diagnosis and treatment.
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Epileptic seizure detection in eegs using time–frequency analysis
Alexandros T Tzallas, Markos G Tsipouras, and Dimitrios I Fotiadis · 2009
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Review of advanced techniques for the estimation of brain connectivity measured with eeg/meg
Vangelis Sakkalis · 2011
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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
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American clinical neurophysiology society guideline 3: a proposal for standard montages to be used in clinical eeg
Jayant N Acharya, Abeer J Hani, Parthasarathy Thirumala, and Tammy N Tsuchida · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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The temple university hospital eeg data corpus
Iyad Obeid and Joseph Picone · 2016
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Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst · 2017
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Operational classification of seizure types by the international league against epilepsy: Position paper of the ilae commission for classification and terminology
Robert S. Fisher, J. Helen Cross, Jacqueline A. French, Norimichi Higurashi, Edouard Hirsch, Floor E. Jansen, Lieven Lagae, Solomon L. Moshé, Jukka Peltola, Eliane Roulet Perez, Ingrid E. Scheffer, and Sameer M. Zuberi · 2017
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Vinit Shah, Eva von Weltin, Silvia Lopez, James Riley McHugh, Lillian Veloso, Meysam Golmohammadi, Iyad Obeid, and Joseph Picone · 2018
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Temporal graph convolutional networks for automatic seizure detection
Ian C. Covert, Balu Krishnan, Imad Najm, Jiening Zhan, Matthew Shore, John Hixson, and Ming Jack Po · 2019
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Integrating convolutional neural networks and probabilistic graphical modeling for epileptic seizure detection in multichannel eeg
Jeff Craley, Emily Johnson, and Archana Venkataraman · 2019
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Contrastive representation learning for electroencephalogram classification
Mostafa Neo Mohsenvand, Mohammad Rasool Izadi, and Pattie Maes · 2020
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Eeg based multi-class seizure type classification using convolutional neural network and transfer learning
Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, and Pieter L Kubben · 2020
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Machine learning for predicting epileptic seizures using eeg signals: A review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence O’Brien, and Adeel Razi · 2020
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Weak supervision as an efficient approach for automated seizure detection in electroencephalography
Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel Rubin, and Christopher Lee-Messer · 2020
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A review of epileptic seizure detection using machine learning classifiers
Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Xiaodi Huang, and Nasir Hussain · 2020
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Prevention, treatment, and monitoring of seizures in the intensive care unit
Micheal Strein, John P Holton-Burke, LaTangela R Smith, and Gretchen M Brophy · 2019
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Epilepsy
WHO · 2019
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Neural memory networks for seizure type classification
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Uncovering the structure of clinical eeg signals with self-supervised learning
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Anomaly detection on electroencephalography with self-supervised learning
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Bendr: using transformers and a contrastive self-supervised learning task to learn from massive amounts of eeg data, 2021
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Spatio-temporal-spectral hierarchical graph convolutional network with semisupervised active learning for patient-specific seizure prediction
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Epileptic seizures detection using deep learning techniques: A review
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Graph attention network with focal loss for seizure detection on electroencephalography signals
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