Literature DB >> 17085016

Seizure prediction: the impact of long prediction horizons.

Björn Schelter1, Matthias Winterhalder, Hinnerk Feldwisch genannt Drentrup, Johannes Wohlmuth, Jakob Nawrath, Armin Brandt, Andreas Schulze-Bonhage, Jens Timmer.   

Abstract

Several procedures have been proposed to be capable of predicting the occurrence of epileptic seizures. Up to now, all proposed algorithms are far from being sufficient for a clinical application. This is, however, often not obvious when results of seizure prediction performance are reported. Here, we discuss impacts of long prediction horizons with respect to clinical needs and the strain on patients by analyzing long-term continuous intracranial electroencephalography data.

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Year:  2006        PMID: 17085016     DOI: 10.1016/j.eplepsyres.2006.10.002

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  6 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

Review 2.  Technology insight: neuroengineering and epilepsy-designing devices for seizure control.

Authors:  William C Stacey; Brian Litt
Journal:  Nat Clin Pract Neurol       Date:  2008-02-26

3.  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

4.  Predictability of uncontrollable multifocal seizures - towards new treatment options.

Authors:  Klaus Lehnertz; Henning Dickten; Stephan Porz; Christoph Helmstaedter; Christian E Elger
Journal:  Sci Rep       Date:  2016-04-19       Impact factor: 4.379

5.  Epileptic Seizure Prediction Based on Permutation Entropy.

Authors:  Yanli Yang; Mengni Zhou; Yan Niu; Conggai Li; Rui Cao; Bin Wang; Pengfei Yan; Yao Ma; Jie Xiang
Journal:  Front Comput Neurosci       Date:  2018-07-19       Impact factor: 2.380

6.  Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy.

Authors:  Adriana Leal; Mauro F Pinto; Fábio Lopes; Anna M Bianchi; Jorge Henriques; Maria G Ruano; Paulo de Carvalho; António Dourado; César A Teixeira
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

  6 in total

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