Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark

R. S. Fisher, W. Webber, R. P. Lesser, S. Arroyo, and S. Uematsu, “High-frequency eeg activity at the start of seizures.”

1992

Earlier work this paper cites.

K. Schindler, H. Leung, C. E. Elger, and K. Lehnertz, “Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial eeg,”

2007

Earlier work this paper cites.

M. Patty Obsorne Shafer RN, “About Epilepsy: The Basics,”

2014

Earlier work this paper cites.

J. Bergstra, B. Komer, C. Eliasmith, D. Yamins, and D. D. Cox, “Hyperopt: a python library for model selection and hyperparameter optimization,”

2015

Earlier work this paper cites.

K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,”

2016

Earlier work this paper cites.

S. Roy, I. Kiral-Kornek, and S. Harrer, “Deep learning enabled automatic abnormal eeg identification,”

2018

Cited alongside, same era.

I. Kiral-Kornek, S. Roy, E. Nurse, B. Mashford, P. Karoly, T. Carroll, D. Payne, S. Saha, S. Baldassano, T. O’Brien

2018

Cited alongside, same era.

V. Shah, E. Von Weltin, S. Lopez, J. R. McHugh, L. Veloso, M. Golmohammadi, I. Obeid, and J. Picone, “The temple university hospital seizure detection corpus,”

2018

Cited alongside, same era.

Y. Paul, “Various epileptic seizure detection techniques using biomedical signals: a review,”

2018

Cited alongside, same era.

S. Harrer, B. Antony, P. Shah, and J. Hu, “Artificial intelligence for clinical trial design,”

2019

Closest in time.

D. Ahmedt-Aristizabal, T. Fernando, S. Denman, L. Petersson, M. J. Aburn, and C. Fookes, “Neural memory networks for seizure type classification,”

2019

Closest in time.

U. Asif, S. Roy, J. Tang, and S. Harrer, “Seizurenet: Multi-spectral deep feature learning for seizure type classification,”

Original

2019

Closest in time.

S. Roy, “IBM Features For Seizure Detection,”

2019

Closest in time.