Localizing Current Dipoles from EEG Data Using a Birth-Death Process

Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata

研究成果: Conference contribution

抄録

A common approach to the electroencephalogram (EEG) source localization problem is to estimate the states of current dipoles. However, the dipole estimation problem is difficult because not only is it an inverse problem but also the number of dipoles can change over time. In this paper, we model the relationship between current dipoles and EEG observations using a state-space model where the creation and annihilation of dipoles is represented as a birth-death process. We estimate the dipoles' positions and moments with a Rao-Blackwellized particle filter and estimate whether a new dipole has been created or an existing one annihilated via the Bayesian information criterion. Experiments on both synthetic and real data show that the proposed model and estimation method can effectively estimate the number and positions of the dipoles.

本文言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
編集者Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2645-2651
ページ数7
ISBN(電子版)9781538654880
DOI
出版ステータスPublished - 2019 1 21
イベント2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
継続期間: 2018 12 32018 12 6

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
CountrySpain
CityMadrid
Period18/12/318/12/6

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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