Steady-state visual evoked potential based classification system for detecting migraine seizures

Li-Wei Ko*, Kuan Lin Lai, Pei Hua Huang, Chin Teng Lin, Shuu Jiun Wang

*Corresponding author for this work

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

3 Scopus citations

Abstract

The recurrent migraine attacks between interictal phenomenon is triggered by the migraineurs' brain lacking for habituation, due to the stimulations from the outside world that increase the excitability of brain activity, which have been considered as the possible reasons for migraine seizure. The variation of habituation level within the migraine cycle is proposed to be a critical symptom to describe the physiological states of migraine headache. This study proposed Steady-State Visual Evoked Potentials (SSVEP) examination to utilize habituation for classifying the different physiologic states of migraine cycle, and implement a classification system to determine different migraine states. The developed system may be extended to detect migraine seizure, and provide an opportunity to a clinically individual-based headache monitoring program, aiming for early migraine detection.

Original languageEnglish
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages1299-1302
Number of pages4
DOIs
StatePublished - 1 Dec 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: 6 Nov 20138 Nov 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period6/11/138/11/13

Fingerprint Dive into the research topics of 'Steady-state visual evoked potential based classification system for detecting migraine seizures'. Together they form a unique fingerprint.

  • Cite this

    Ko, L-W., Lai, K. L., Huang, P. H., Lin, C. T., & Wang, S. J. (2013). Steady-state visual evoked potential based classification system for detecting migraine seizures. In 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 (pp. 1299-1302). [6696179] (International IEEE/EMBS Conference on Neural Engineering, NER). https://doi.org/10.1109/NER.2013.6696179