title: Automatic detection of childhood absence epilepsy seizures: toward a monitoring device.
abstract: Automatic detections of paroxysms in patients with childhood absence epilepsy have been neglected for several years. We acquire reliable detections using only a single-channel brainwave monitor, allowing for unobtrusive monitoring of antiepileptic drug effects. Ultimately we seek to obtain optimal long-term prognoses, balancing antiepileptic effects and side effects. The electroencephalographic appearance of paroxysms in childhood absence epilepsy is fairly homogeneous, making it feasible to develop patient-independent automatic detection. We implemented a state-of-the-art algorithm to investigate the performance of paroxysm detection. Using only a single scalp electroencephalogram channel from 20 patients with a total of 125 paroxysms >2 seconds, 97.2% of paroxysms could be detected with no false detections. This result leads us to recommend further investigations of tiny, one-channel electroencephalogram systems in an ambulatory setting.
authors.affiliation: Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark.
authors.forename: Jonas
authors.initials: J
authors.lastname: Duun-Henriksen
authors.forename: Rasmus E
authors.initials: RE
authors.lastname: Madsen
authors.forename: Line S
authors.initials: LS
authors.lastname: Remvig
authors.forename: Carsten E
authors.initials: CE
authors.lastname: Thomsen
authors.forename: Helge B D
authors.initials: HB
authors.lastname: Sorensen
authors.forename: Troels W
authors.initials: TW
authors.lastname: Kjaer
mesh_terms: D000465:Algorithms; D001931:Brain Mapping; D058256:Brain Waves / Q000502:physiology*; D002648:Child; D002675:Child, Preschool; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography; D004832:Epilepsy, Absence / Q000175:diagnosis* / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic; D012680:Sensitivity and Specificity; D013997:Time Factors