Literature DB >> 20044314

A common strategy and database to compare the performance of seizure prediction algorithms.

Bjoern Schelter1, Hinnerk Feldwisch-Drentrup, Jens Timmer, Jean Gotman, Andreas Schulze-Bonhage.   

Abstract

A reliable algorithm for the timely prediction of epileptic seizures would be a milestone in epilepsy research. Prediction performances have so far been determined using retrospective data assessment, leaving open the question as to whether they prove statistically significant and clinically useful under prospective conditions. To this aim, a Seizure Prediction Competition has been set up. Here, the background and the details of this competition are described. (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20044314     DOI: 10.1016/j.yebeh.2009.11.017

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  3 in total

Review 1.  Collaborating and sharing data in epilepsy research.

Authors:  Joost B Wagenaar; Gregory A Worrell; Zachary Ives; Matthias Dümpelmann; Dümpelmann Matthias; Brian Litt; Andreas Schulze-Bonhage
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

2.  Identification of preseizure States in epilepsy: a data-driven approach for multichannel EEG recordings.

Authors:  Hinnerk Feldwisch-Drentrup; Matthäus Staniek; Andreas Schulze-Bonhage; Jens Timmer; Henning Dickten; Christian E Elger; Björn Schelter; Klaus Lehnertz
Journal:  Front Comput Neurosci       Date:  2011-07-07       Impact factor: 2.380

3.  Link Prediction Investigation of Dynamic Information Flow in Epilepsy.

Authors:  Yan He; Fan Yang; Yunli Yu; Celso Grebogi
Journal:  J Healthc Eng       Date:  2018-07-02       Impact factor: 2.682

  3 in total

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