Classifying single-trial EEG during motor imagery using a multivariate mutual information based phase synchrony measure

Payam Shahsavari Baboukani, Sara Mohammadi, Ghasem Azemi

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

In electroencephalography(EEG)-based brain computer interfaces (BCIs), interactions between different areas of the user's brain can be measured using a phase synchronization measure. In this paper, a mutual information-based multivariate phase synchrony measure is used to assess local-scale connectivity and classify EEG to BCI control condition. The results obtained using a well-known database shows that the method proposed in this paper significantly outperforms the existing technique when used for classifying right and left hand movement motor imageries of 5 different subjects using their recorded EEG signals. Specifically, the mean accuracy of the proposed method is 70% higher than that of the existing techniques based on synchrony measures. Also, statistical test shows that the channels on the right hemisphere (left hemisphere) are more synchronized during left (right) hand movement motor imagery.
Original languageEnglish
Title of host publication2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)
Place of PublicationTehran
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9781538636091
ISBN (Print)9781538636107
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME) - Tehran, Iran, Islamic Republic of
Duration: 30 Nov 20171 Dec 2017

Conference

Conference2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME)
Country/TerritoryIran, Islamic Republic of
CityTehran
Period30/11/171/12/17

Keywords

  • component
  • EEG classification
  • BCI
  • multivariate phase synchrony
  • mutual information

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