Detecting epileptic seizures using machine learning and interpretable features of human EEG-Reference-Cited by-同舟云学术

Detecting epileptic seizures using machine learning and interpretable features of human EEG

Published:2022-11-17 Issue: Volume: Page:
ISSN:1951-6355
Container-title:The European Physical Journal Special Topics
language:en
Short-container-title:Eur. Phys. J. Spec. Top.

Author:

Karpov Oleg E.,Afinogenov Sergey,Grubov Vadim V.,Maksimenko Vladimir,Korchagin Sergey,Utyashev Nikita,Hramov Alexander E.^ORCID

Funder

Priority 2030 program of Immanuel Kant Baltic Federal University

President Program

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,General Materials Science

Link

https://link.springer.com/content/pdf/10.1140/epjs/s11734-022-00714-3.pdf

Reference67 articles.

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2. E. Beghi, The epidemiology of epilepsy. Neuroepidemiology 54(2), 185–191 (2020)

3. R.S. Fisher, C. Acevedo, A. Arzimanoglou, A. Bogacz, J.H. Cross, C.E. Elger, J. Engel Jr., L. Forsgren, J.A. French, M. Glynn et al., Ilae official report: a practical clinical definition of epilepsy. Epilepsia 55(4), 475–482 (2014)

4. R.D. Thijs, R. Surges, T.J. O’Brien, J.W. Sander, Epilepsy in adults. Lancet 393(10172), 689–701 (2019)

5. G. Motamedi, K. Meador, Epilepsy and cognition. Epilepsy Behav. 4, 25–38 (2003)

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