Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958169 | Computer Methods and Programs in Biomedicine | 2017 | 13 Pages |
Abstract
A novel seizure prediction method using scalp EEG, based on attractor state analysis, shows potential for application with real epilepsy patients. This is the first study in which the seizure-precursor phenomenon of an epileptic seizure is investigated based on attractor-based analysis of the macroscopic dynamics of the brain. With the scalp EEG, we first propose use of a spectral feature identified for seizure prediction, in which the dynamics of an attractor are excluded, and only the perturbation dynamics from the attractor are considered.
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Authors
Hyunho Chu, Chun Kee Chung, Woorim Jeong, Kwang-Hyun Cho,