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EEG-based seizure detection models face challenges in terms of inference speed and memory efficiency, limiting their real-time implementation in clinical devices.
Ten-twenty electrode system of the international federation
Jasper, H. H · 1958
Earlier work this paper cites.
Automatic seizure detection: improvements and evaluation
Gotman, J · 1990
Earlier work this paper cites.
Long short-term memory
Hochreiter, S. and Schmidhuber, J · 1997
Earlier work this paper cites.
Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals
Goldberger, A. L., Amaral, L. A., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., and Stanley, H. E · 2000
Earlier work this paper cites.
On the difficulty of training recurrent neural networks
Pascanu, R., Mikolov, T., and Bengio, Y · 2013
Earlier work this paper cites.
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
Shuman, D. I., Narang, S. K., Frossard, P., Ortega, A., and Vandergheynst, P · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
Earlier work this paper cites.
Dropout: a simple way to prevent neural networks from overfitting
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R · 2014
Earlier work this paper cites.
The rns system: responsive cortical stimulation for the treatment of refractory partial epilepsy
Sun, F. T. and Morrell, M. J · 2014
Earlier work this paper cites.
American clinical neurophysiology society guideline 3: a proposal for standard montages to be used in clinical eeg
Acharya, J. N., Hani, A. J., Thirumala, P., and Tsuchida, T. N · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
Loshchilov, I. and Hutter, F · 2016
Earlier work this paper cites.
The temple university hospital eeg data corpus
Obeid, I. and Picone, J · 2016
Earlier work this paper cites.
A 16-channel 1.1 mm 2 implantable seizure control soc with sub- μ \mu w/channel consumption and closed-loop stimulation in 0.18 μ \mu m cmos
Shoaran, M., Shahshahani, M., Farivar, M., Almajano, J., Shahshahani, A., Schmid, A., Bragin, A., Leblebici, Y., and Emami, A · 2016
Earlier work this paper cites.
Learning robust features using deep learning for automatic seizure detection
Thodoroff, P., Pineau, J., and Lim, A · 2016
Cited alongside, same era.
Graph convolutional recurrent neural network: Data-driven traffic forecasting
Li, Y., Yu, R., Shahabi, C., and Liu, Y · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017
Cited alongside, same era.
The temple university hospital seizure detection corpus
Shah, V., Von Weltin, E., Lopez, S., McHugh, J. R., Veloso, L., Golmohammadi, M., Obeid, I., and Picone, J · 2018
Cited alongside, same era.
Energy-efficient classification for resource-constrained biomedical applications
Shoaran, M., Haghi, B. A., Taghavi, M., Farivar, M., and Emami-Neyestanak, A · 2018
Cited alongside, same era.
Neonatal seizure detection from raw multi-channel eeg using a fully convolutional architecture
O’Shea, A., Lightbody, G., Boylan, G., and Temko, A · 2020
Later among the works it cites.
Self-classifying mnist digits
Randazzo, E., Mordvintsev, A., Niklasson, E., Levin, M., and Greydanus, S · 2020
Later among the works it cites.
Weak supervision as an efficient approach for automated seizure detection in electroencephalography
Saab, K., Dunnmon, J., Ré, C., Rubin, D., and Lee-Messer, C · 2020
Later among the works it cites.
A review of epileptic seizure detection using machine learning classifiers
Siddiqui, M. K., Morales-Menendez, R., Huang, X., and Hussain, N · 2020
Later among the works it cites.
Resot: Resource-efficient oblique trees for neural signal classification
Zhu, B., Farivar, M., and Shoaran, M · 2020
Later among the works it cites.
Deep double descent: Where bigger models and more data hurt
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Voulodimos, A., Doulamis, N., Doulamis, A., Protopapadakis, E., et al · 2018
Cited alongside, same era.
Global, regional, and national burden of epilepsy, 1990–2016: a systematic analysis for the global burden of disease study 2016
Beghi, E., Giussani, G., Nichols, E., Abd-Allah, F., Abdela, J., Abdelalim, A., Abraha, H. N., Adib, M. G., Agrawal, S., Alahdab, F., et al · 2019
Cited alongside, same era.
Temporal graph convolutional networks for automatic seizure detection
Covert, I. C., Krishnan, B., Najm, I., Zhan, J., Shore, M., Hixson, J., and Po, M. J · 2019
Cited alongside, same era.
Artificial intelligence for clinical trial design
Harrer, S., Shah, P., Antony, B., and Hu, J · 2019
Cited alongside, same era.
Weisfeiler and leman go neural: Higher-order graph neural networks
Morris, C., Ritzert, M., Fey, M., Hamilton, W. L., Lenssen, J. E., Rattan, G., and Grohe, M · 2019
Cited alongside, same era.
Prevention, treatment, and monitoring of seizures in the intensive care unit
Strein, M., Holton-Burke, J. P., Smith, L. R., and Brophy, G. M · 2019
Cited alongside, same era.
Neural memory networks for seizure type classification
Ahmedt-Aristizabal, D., Fernando, T., Denman, S., Petersson, L., Aburn, M. J., and Fookes, C · 2020
Cited alongside, same era.
Nakkiran, P., Kaplun, G., Bansal, Y., Yang, T., Barak, B., and Sutskever, I · 2021
Later among the works it cites.
Self-supervised graph neural networks for improved electroencephalographic seizure analysis
Tang, S., Dunnmon, J. A., Saab, K., Zhang, X., Huang, Q., Dubost, F., Rubin, D. L., and Lee-Messer, C · 2021
Later among the works it cites.
Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection
Zhu, B., Shin, U., and Shoaran, M · 2021
Later among the works it cites.
Evaluating the window size’s role in automatic eeg epilepsy detection
Christou, V., Miltiadous, A., Tsoulos, I., Karvounis, E., Tzimourta, K. D., Tsipouras, M. G., Anastasopoulos, N., Tzallas, A. T., and Giannakeas, N · 2022
Later among the works it cites.
Lee, K., Jeong, H., Kim, S., Yang, D., Kang, H.-C., and Choi, E · 2022
Later among the works it cites.
Graph-generative neural network for eeg-based epileptic seizure detection via discovery of dynamic brain functional connectivity
Li, Z., Hwang, K., Li, K., Wu, J., and Ji, T · 2022
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Neuraltree: A 256-channel 0.227- μ \mu j/class versatile neural activity classification and closed-loop neuromodulation soc
Shin, U., Ding, C., Zhu, B., Vyza, Y., Trouillet, A., Revol, E. C., Lacour, S. P., and Shoaran, M · 2022
Later among the works it cites.
Self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis
Ho, T. K. K. and Armanfard, N · 2023
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Dynca: Real-time dynamic texture synthesis using neural cellular automata
Pajouheshgar, E., Xu, Y., Zhang, T., and Süsstrunk, S · 2023
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33.3 mibmi: A 192/512-channel 2.46 mm 2 miniaturized brain-machine interface chipset enabling 31-class brain-to-text conversion through distinctive neural codes
Shaeri, M. A., Shin, U., Yadav, A., Caramellino, R., Rainer, G., and Shoaran, M · 2024
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