Seizure prediction: the impact of long prediction horizons.
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.
Schelter
Björn
B
FDM, Freiburg Center for Data Analysis and Modeling, University of Freiburg, Eckerstr. 1, 79104 Freiburg, Germany. schelter@fdm.uni-freiburg.de
Winterhalder
Matthias
M
Feldwisch genannt Drentrup
Hinnerk
H
Wohlmuth
Johannes
J
Nawrath
Jakob
J
Brandt
Armin
A
Schulze-Bonhage
Andreas
A
Timmer
Jens
J
D000293:Adolescent; D000328:Adult; D004569:Electroencephalography; D004827:Epilepsy / Q000503:physiopathology*; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D011237:Predictive Value of Tests; D012640:Seizures / Q000503:physiopathology*; D012680:Sensitivity and Specificity