A novel seizure detection algorithm informed by hidden Markov model event states-Reference-Cited by-同舟云学术

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A novel seizure detection algorithm informed by hidden Markov model event states

Published:2016-04-21 Issue:3 Volume:13 Page:036011
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Baldassano Steven,Wulsin Drausin,Ung Hoameng,Blevins Tyler,Brown Mesha-Gay,Fox Emily,Litt Brian

Funder

National Institutes of Health

Mirowski Family Foundation

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/13/i=3/a=036011/pdf

Reference27 articles.

1. Early Identification of Refractory Epilepsy

2. Automatic recognition of epileptic seizures in the EEG

3. Technology Insight: neuroengineering and epilepsy—designing devices for seizure control

4. Line length: an efficient feature for seizure onset detection

5. Brief Electroencephalography Rhythmic Discharges (BERDs) in the Neonate With Seizures

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1. Glial expression of Drosophila UBE3A causes spontaneous seizures that can be modulated by 5-HT signaling;Neurobiology of Disease;2024-10

2. Glial expression ofDrosophila UBE3Acauses spontaneous seizures modulated by 5-HT signaling;2024-02-09

3. Modeling of seizure and seizure-free EEG signals based on stochastic differential equations;Chaos, Solitons & Fractals;2021-09

4. Time-evolving controllability of effective connectivity networks during seizure progression;Proceedings of the National Academy of Sciences;2021-01-25

5. Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods;SN Computer Science;2020-10-09

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