Classification of migraine stages based on resting-state EEG power

Ze Hong Cao, Li-Wei Ko, Kuan Lin Lai, Song Bo Huang, Shuu Jiun Wang, Chin Teng Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2015 International Joint Conference on Neural Networks, IJCNN 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479919604, 9781479919604, 9781479919604, 9781479919604
DOIs
StatePublished - 28 Sep 2015
EventInternational Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland
Duration: 12 Jul 201517 Jul 2015

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2015-September

Conference

ConferenceInternational Joint Conference on Neural Networks, IJCNN 2015
CountryIreland
CityKillarney
Period12/07/1517/07/15

Keywords

  • Classification
  • EEG Power
  • Migraine
  • Pre-ictal
  • Resting State

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    Cao, Z. H., Ko, L-W., Lai, K. L., Huang, S. B., Wang, S. J., & Lin, C. T. (2015). Classification of migraine stages based on resting-state EEG power. In 2015 International Joint Conference on Neural Networks, IJCNN 2015 [7280582] (Proceedings of the International Joint Conference on Neural Networks; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280582