Impact of patient-specificity on seizure onset detection performance.
In this paper we quantify the degree to which patient-specificity affects the detection latency, sensitivity, and specificity of a seizure detector using 536 hours of continuously recorded scalp EEG from 16 epilepsy patients. We demonstrate that a detector that knows of an individual's seizure and non-seizure EEG outperforms a detector limited to knowledge of an individual's non-seizure EEG, and a detector limited to knowledge of population seizure and non-seizure EEG.
Shoeb
Ali
A
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, USA.
Bourgeois
Blaise
B
Treves
S
S
Schachter
Steven C
SC
Guttag
John
J
D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D011237:Predictive Value of Tests; D012640:Seizures / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D012984:Software