Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy-Reference-Cited by-同舟云学术

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Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy

Published:2018-06-27 Issue:4 Volume:15 Page:046035
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Varatharajah Yogatheesan^ORCID,Berry Brent,Cimbalnik Jan,Kremen Vaclav,Van Gompel Jamie,Stead Matt,Brinkmann Benjamin,Iyer Ravishankar,Worrell Gregory

Funder

České Vysoké Učení Technické v Praze

Foundation for the National Institutes of Health

Division of Computer and Network Systems

Project no LQ1605 from the National Program of Sustainability II (MEYS CR)

Ministry of Youth and Sports of the Czech Republic

The European Regional Development Fund

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/aac960/pdf

Reference62 articles.

1. Phase-Amplitude Coupling Is Elevated in Deep Sleep and in the Onset Zone of Focal Epileptic Seizures

2. Comparison of algorithms for detection of high frequency oscillations in intracranial EEG

3. High inter-reviewer variability of spike detection on intracranial EEG addressed by an automated multi-channel algorithm

4. Physiologic and pathologic oscillations

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