Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy

Title
Automatic Identification of Interictal Epileptiform Discharges in Secondary Generalized Epilepsy
Authors
장원두
Keywords
SPIKE-WAVE DISCHARGES; EEG; TRANSFORM; QUANTIFICATION; RECOGNITION; CHILDREN; EVENTS
Issue Date
2016-06
Publisher
HINDAWI PUBLISHING CORP
Citation
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, v. 2016, Page. 1-10
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.
URI
https://www.hindawi.com/journals/cmmm/2016/8701973/http://repository.hanyang.ac.kr/handle/20.500.11754/72444
ISSN
1748-670X; 1748-6718
DOI
http://dx.doi.org/10.1155/2016/8701973
Appears in Collections:
RESEARCH INSTITUTE[S](부설연구소) > INSTITUTE OF BIOMEDICAL ENGINEERING(의공학연구소) > Articles
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