title: Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy.
abstract: Ictal epileptiform discharges (EDs) are characteristic signal patterns of scalp electroencephalogram (EEG) or intracranial EEG (iEEG) recorded from patients with epilepsy, which assist with the diagnosis and characterization of various types of epilepsy. The EEG signal, however, is often recorded from patients with epilepsy for a long period of time, and thus detection and identification of EDs have been a burden on medical doctors. This paper proposes a new method for automatic identification of two types of EDs, repeated sharp-waves (sharps), and runs of sharp-and-slow-waves (SSWs), which helps to pinpoint epileptogenic foci in secondary generalized epilepsy such as Lennox-Gastaut syndrome (LGS). In the experiments with iEEG data acquired from a patient with LGS, our proposed method detected EDs with an accuracy of 93.76% and classified three different signal patterns with a mean classification accuracy of 87.69%, which was significantly higher than that of a conventional wavelet-based method. Our study shows that it is possible to successfully detect and discriminate sharps and SSWs from background EEG activity using our proposed method.
authors.affiliation: Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
authors.forename: Won-Du
authors.initials: WD
authors.lastname: Chang
authors.affiliation: Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
authors.forename: Ho-Seung
authors.initials: HS
authors.lastname: Cha
authors.affiliation: Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
authors.forename: Chany
authors.initials: C
authors.lastname: Lee
authors.affiliation: Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
authors.forename: Hoon-Chul
authors.initials: HC
authors.lastname: Kang
authors.affiliation: Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
authors.forename: Chang-Hwan
authors.initials: CH
authors.lastname: Im
mesh_terms: D000293:Adolescent; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004566:Electrodes; D004569:Electroencephalography; D004829:Epilepsy, Generalized / Q000503:physiopathology*; D006801:Humans; D008297:Male; D015233:Models, Statistical; D016011:Normal Distribution; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted