Literature DB >> 27234060

Seizure prediction: making mileage on the long and winding road.

Florian Mormann1, Ralph G Andrzejak2.   

Abstract

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Year:  2016        PMID： 27234060     DOI： 10.1093/brain/aww091

Source DB:  PubMed          Journal:  Brain        ISSN： 0006-8950            Impact factor:   13.501


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  5 in total

1.  Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.

Authors:  Yinda Zhang; Shuhan Yang; Yang Liu; Yexian Zhang; Bingfeng Han; Fengfeng Zhou
Journal:  Sensors (Basel)       Date:  2018-04-28       Impact factor: 3.576

2.  Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.

Authors:  Isabell Kiral-Kornek; Subhrajit Roy; Ewan Nurse; Benjamin Mashford; Philippa Karoly; Thomas Carroll; Daniel Payne; Susmita Saha; Steven Baldassano; Terence O'Brien; David Grayden; Mark Cook; Dean Freestone; Stefan Harrer
Journal:  EBioMedicine       Date:  2017-12-12       Impact factor: 8.143

3.  Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.

Authors:  Xiaoyan Wei; Lin Zhou; Ziyi Chen; Liangjun Zhang; Yi Zhou
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-07       Impact factor: 2.796

4.  Synthetic Epileptic Brain Activities with TripleGAN.

Authors:  Meiyan Xu; Jiao Jie; Wangliang Zhou; Hefang Zhou; Shunshan Jin
Journal:  Comput Math Methods Med       Date:  2022-08-27       Impact factor: 2.809

5.  Weak self-supervised learning for seizure forecasting: a feasibility study.

Authors:  Yikai Yang; Nhan Duy Truong; Jason K Eshraghian; Armin Nikpour; Omid Kavehei
Journal:  R Soc Open Sci       Date:  2022-08-03       Impact factor: 3.653
  5 in total

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