Deep-learning for seizure forecasting in canines with epilepsy-Reference-Cited by-同舟云学术

Deep-learning for seizure forecasting in canines with epilepsy

Published:2019-05-08 Issue:3 Volume:16 Page:036031
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Nejedly Petr^ORCID,Kremen Vaclav^ORCID,Sladky Vladimir,Nasseri Mona^ORCID,Guragain Hari,Klimes Petr,Cimbalnik Jan,Varatharajah Yogatheesan^ORCID,Brinkmann Benjamin H,Worrell Gregory A

Funder

NIH-NINDS

Ministry of Youth and Sports of the Czech Republic

Grantová Agentura České Republiky

European Regional Development Fund

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/ab172d/pdf

Reference43 articles.

1. Slow modulations of high-frequency activity (40–140 Hz) discriminate preictal changes in human focal epilepsy

2. Electroencephalography in dogs with epilepsy: similarities between human and canine findings

3. Correction: Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy

4. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy

5. Canine epilepsy: What can we learn from human seizure disorders?

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