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

Bjoern Schelter; Hinnerk Feldwisch-Drentrup; Jens Timmer; Jean Gotman; Andreas Schulze-Bonhage

doi:10.1016/j.yebeh.2009.11.017

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

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

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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 tip Here, the background and the details of this competition are described. (C) 2009 Elsevier Inc All rights reserved

Original language	English
Pages (from-to)	154-156
Number of pages	3
Journal	Epilepsy and Behavior
Volume	17
Issue number	2
DOIs	https://doi.org/10.1016/j.yebeh.2009.11.017
Publication status	Published - Feb 2010

Keywords

epilepsy
seizure prediction
competition
database

Access to Document

10.1016/j.yebeh.2009.11.017

Cite this

@article{b07298720ba142f1a80660d2f15038bb,

title = "A common strategy and database to compare the performance of seizure prediction algorithms",

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 tip Here, the background and the details of this competition are described. (C) 2009 Elsevier Inc All rights reserved",

keywords = "epilepsy, seizure prediction, competition, database",

author = "Bjoern Schelter and Hinnerk Feldwisch-Drentrup and Jens Timmer and Jean Gotman and Andreas Schulze-Bonhage",

year = "2010",

month = feb,

doi = "10.1016/j.yebeh.2009.11.017",

language = "English",

volume = "17",

pages = "154--156",

journal = "Epilepsy and Behavior",

issn = "1525-5050",

publisher = "Academic Press Inc.",

number = "2",

}

TY - JOUR

T1 - A common strategy and database to compare the performance of seizure prediction algorithms

AU - Schelter, Bjoern

AU - Feldwisch-Drentrup, Hinnerk

AU - Timmer, Jens

AU - Gotman, Jean

AU - Schulze-Bonhage, Andreas

PY - 2010/2

Y1 - 2010/2

N2 - 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 tip Here, the background and the details of this competition are described. (C) 2009 Elsevier Inc All rights reserved

AB - 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 tip Here, the background and the details of this competition are described. (C) 2009 Elsevier Inc All rights reserved

KW - epilepsy

KW - seizure prediction

KW - competition

KW - database

U2 - 10.1016/j.yebeh.2009.11.017

DO - 10.1016/j.yebeh.2009.11.017

M3 - Article

SN - 1525-5050

VL - 17

SP - 154

EP - 156

JO - Epilepsy and Behavior

JF - Epilepsy and Behavior

IS - 2

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this