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Electroencephalogram (EEG) is an important diagnostic test that physicians use to record brain activity and detect seizures by monitoring the signals.
Machine learning for seizure type classification: Setting the benchmark
Subhrajit Roy, Umar Asif, Jianbin Tang, and Stefan Harrer · 1902
Earlier work this paper cites.
Automatic seizure detection in the newborn: methods and initial evaluation
J Gotman, D Flanagan, J Zhang, and B Rosenblatt · 1997
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Discrete-time signal processing
Alan V Oppenheim · 1999
Earlier work this paper cites.
Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
Earlier work this paper cites.
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Ralph G Andrzejak, Klaus Lehnertz, Florian Mormann, Christoph Rieke, Peter David, and Christian E Elger · 2001
Earlier work this paper cites.
Is word error rate a good indicator for spoken language understanding accuracy
Ye-Yi Wang, Alex Acero, and Ciprian Chelba · 2003
Earlier work this paper cites.
Seizure detection: correlation of human experts
Scott B Wilson, Mark L Scheuer, Cheryl Plummer, Bryan Young, and Steve Pacia · 2003
Earlier work this paper cites.
Evaluation of automatic speech recognition and speech language translation within tc-star: Results from the first evaluation campaign
Djamel Mostefa, Olivier Hamon, and Khalid Choukri · 2006
Earlier work this paper cites.
Usefulness of video-eeg monitoring
Douglas R Nordli Jr · 2006
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Classification of patterns of eeg synchronization for seizure prediction
Piotr Mirowski, Deepak Madhavan, Yann LeCun, and Ruben Kuzniecky · 2009
Earlier work this paper cites.
Time–frequency feature representation using energy concentration: An overview of recent advances
Ervin Sejdić, Igor Djurović, and Jin Jiang · 2009
Earlier work this paper cites.
Application of machine learning to epileptic seizure onset detection and treatment
Ali Hossam Shoeb · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Ilae official report: a practical clinical definition of epilepsy
Robert S Fisher, Carlos Acevedo, Alexis Arzimanoglou, Alicia Bogacz, J Helen Cross, Christian E Elger, Jerome Engel Jr, Lars Forsgren, Jacqueline A French, Mike Glynn, et al · 2014
Earlier work this paper cites.
Eeg signal classification using frequency band analysis towards epileptic seizure prediction
Mohammad Zavid Parvez and Manoranjan Paul · 2014
Earlier work this paper cites.
Logistic regression-hsmm-based heart sound segmentation
David B Springer, Lionel Tarassenko, and Gari D Clifford · 2015
Earlier work this paper cites.
Analysis of high-dimensional phase space via poincaré section for patient-specific seizure detection
Morteza Zabihi, Serkan Kiranyaz, Ali Bahrami Rad, Aggelos K Katsaggelos, Moncef Gabbouj, and Turker Ince · 2015
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A novel seizure detection algorithm informed by hidden markov model event states
Steven Baldassano, Drausin Wulsin, Hoameng Ung, Tyler Blevins, Mesha-Gay Brown, Emily Fox, and Brian Litt · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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The temple university hospital eeg data corpus
Iyad Obeid and Joseph Picone · 2016
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Gated recurrent networks for seizure detection
Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Eva Von Weltin, Christopher Campbell, Iyad Obeid, and Joseph Picone · 2017
Cited alongside, same era.
Densely connected convolutional networks
Automatic analysis of eegs using big data and hybrid deep learning architectures
Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid, and Joseph Picone · 2019
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Searching for mobilenetv3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, et al · 2019
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Subspace techniques for task-independent eeg person identification
Mari Ganesh Kumar, MS Saranya, Shrikanth Narayanan, Mriganka Sur, and Hema A Murthy · 2019
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Epileptic seizure prediction with multi-view convolutional neural networks
Chien-Liang Liu, Bin Xiao, Wen-Hoar Hsaio, and Vincent S Tseng · 2019
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A convolutional neural network based framework for classification of seizure types
Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter L Kubben, et al · 2019
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Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Ilae classification of the epilepsies: position paper of the ilae commission for classification and terminology
Ingrid E Scheffer, Samuel Berkovic, Giuseppe Capovilla, Mary B Connolly, Jacqueline French, Laura Guilhoto, Edouard Hirsch, Satish Jain, Gary W Mathern, Solomon L Moshé, et al · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Objective evaluation metrics for automatic classification of eeg events
Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi, Iyad Obeid, and Joseph Picone · 2017
Cited alongside, same era.
Deep convolutional neural network for the automated detection and diagnosis of seizure using eeg signals
U Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, and Hojjat Adeli · 2018
Cited alongside, same era.
Detecting abnormal pattern of epileptic seizures via temporal synchronization of eeg signals
Miaolin Fan and Chun-An Chou · 2018
Cited alongside, same era.
Speaker recognition from raw waveform with sincnet
Mirco Ravanelli and Yoshua Bengio · 2018
Cited alongside, same era.
David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J Aburn, and Clinton Fookes · 2020
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A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network
Behnaz Akbarian and Abbas Erfanian · 2020
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Seizurenet: Multi-spectral deep feature learning for seizure type classification
Umar Asif, Subhrajit Roy, Jianbin Tang, and Stefan Harrer · 2020
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wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
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Electroencephalography: basic biophysical and technological aspects important for clinical applications
Sándor Beniczky and Donald L Schomer · 2020
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Real-time inference and detection of disruptive eeg networks for epileptic seizures
Walter Bomela, Shuo Wang, Chun-An Chou, and Jr-Shin Li · 2020
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Contrastive representation learning for electroencephalogram classification
Mostafa Neo Mohsenvand, Mohammad Rasool Izadi, and Pattie Maes · 2020
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A deep learning-based real-time seizure detection system
Nabila Shawki, Tarek Elseify, Thao Cap, Vinit Shah, Iyad Obeid, and Joseph Picone · 2020
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Seizure detection using time delay neural networks and lstms
Anand Thyagachandran, M Kumar, Mriganka Sur, Rajeswari Aghoram, and H Murthy · 2020
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Interpretable seizure classification using unprocessed eeg with multi-channel attentive feature fusion
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, and Clinton Fookes · 2021
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Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types
Guangyu Jia, Hak-Keung Lam, and Kaspar Althoefer · 2022
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