title: Generic single-channel detection of absence seizures.
abstract: A long-term EEG-monitoring system, which automatically marks seizure events, is useful for diagnosing and treating epilepsy. A generic method utilizing the low inter-and intra-patient variabilities in EEG-characteristics during absence seizures is proposed. This paper investigates if the spike-and-wave behaviour during absence seizures is so distinct that a single-channel implementation is possible. 18 channels of scalp electroencephalography (EEG), from 19 patients suffering from childhood absence epilepsy, are analysed individually. The characteristics of the seizures are captured using the energy content of wavelet transform subbands and classified using a support vector machine. To ease the evaluation of the method, we present a new graphical visualization of the performance based on the topographical distribution on the scalp. The presented seizure detection method shows that the best result is obtained for the derivation F7-FP1. Using this channel a sensitivity of 99.1 %, positive predictive value of 94.8 %, mean detection latency of 3.7 s, and false detection rate value of 0.5/h was obtained. The topographical visualization of the results clearly shows that the frontal, midline, and parietal channels outperform detection based on the channels in the occipital region.
authors.affiliation: Department of Electrical Engineering, Technical University of Denmark, ØrstedsPlads, building 349, DK-2800 Kgs Lyngby. Elinebp@hotmail.com
authors.forename: Eline B
authors.initials: EB
authors.lastname: Petersen
authors.forename: Jonas
authors.initials: J
authors.lastname: Duun-Henriksen
authors.forename: Andrea
authors.initials: A
authors.lastname: Mazzaretto
authors.forename: Troels W
authors.initials: TW
authors.lastname: Kjær
authors.forename: Carsten E
authors.initials: CE
authors.lastname: Thomsen
authors.forename: Helge B D
authors.initials: HB
authors.lastname: Sorensen
mesh_terms: D004569:Electroencephalography; D004832:Epilepsy, Absence / Q000175:diagnosis* / Q000503:physiopathology; D005260:Female; D006801:Humans; D008297:Male