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Classification of migraine stages based on resting-state EEG power
conference contributionposted on 2023-05-23, 14:07 authored by Cao, Z-H, Ko, L-W, Lai, K-L, Huang, S-B, Wang, S-J, Lin, C-T
Migraine is a chronic neurological disease characterized by recurrent moderate to severe headaches during a period like one month often in association with symptoms in human brain and autonomic nervous system. Normally, migraine symptoms can be categorized into four different stages: inter-ictal, pre-ictal, ictal, and post-ictal stages. Since migraine patients are difficulty knowing when they will suffer migraine attacks, therefore, early detection becomes an important issue, especially for low-frequency migraine patients who have less than 5 times attacks per month. The main goal of this study is to develop a migraine-stage classification system based on migraineurs' resting-state EEG power. We collect migraineurs' O1 and O2 EEG activities during closing eyes from occipital lobe to identify pre-ictal and non-pre-ictal stages. Self-Constructing Neural Fuzzy Inference Network (SONFIN) is adopted as the classifier in the migraine stages classification which can reach the better classification accuracy (66%) in comparison with other classifiers. The proposed system is helpful for migraineurs to obtain better treatment at the right time.
Publication titleProceedings of the 2015 International Joint Conference on Neural Networks (IJCNN)
Department/SchoolSchool of Information and Communication Technology
PublisherIEEE-Inst Electrical Electronics Engineers Inc
Event title2015 International Joint Conference on Neural Networks (IJCNN)
Event VenueKillarney, Ireland
Date of Event (Start Date)2015-07-12
Date of Event (End Date)2015-07-17
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