Measuring brain activation by using baseline-normalized event-related spectral perturbation in working memory task

Tustanah Phukhachee, Suthathip Maneewongvatana, Boonserm Kaewkamnerdpong, Thanate Angsuwatanakul, Keiji Iramina

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

Understanding the cognitive function of human brain is an important step in providing scientific evidence which could help us improve the condition of memory disorders, slow down its progress or at least help the patients retain some important matters. In this study, we aimed to provide additional scientific evidence with more insight on how the brain functions at a good/bad cognitive state than the usual statistical analysis. We introduced the brain activation measurement using baseline-normalized ERSP to determine the activation of EEG data from stimuli. These active points over a period of time could reflect brain synchronization due to stimuli. We also demonstrated the use of proposed measure on attention working memory data. The results indicate the potential of using the proposed measurement in categorizing the brain cognitive state and identifying some important factors to provide additional evidence to the field in the future.

本文言語英語
ホスト出版物のタイトル2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ホスト出版物のサブタイトルSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4379-4382
ページ数4
ISBN(電子版)9781509028092
DOI
出版ステータス出版済み - 9 13 2017
イベント39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, 大韓民国
継続期間: 7 11 20177 15 2017

その他

その他39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country大韓民国
CityJeju Island
Period7/11/177/15/17

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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