Cortical imaging of sensorimotor rhythms for BCI applications

Han Yuan, Bin He

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

3 Scopus citations

Abstract

Rhythmic electroencephalographic (EEG) activities associated with movement imaginations are widely used in developing noninvasive Brain-Computer Interface (BCI) towards replacing or restoring the lost motor function in the paralytics. And it is of great importance to develop imaging techniques to enhance the spatial resolution and specificity of the EEG modality. In our work, we developed an innovative approach of imaging the distributed rhythmic brain activity in the spectral domain. In the present study, we evaluated the proposed technique in experimental data of offline and online imaginations in naive and well-trained BCI subjects. Our results identified the cortical origins of sensorimotor rhythms. We also applied the source imaging approach to classifying mental states for BCI applications and demonstrated its feasibility and superior performance.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Subtitle of host publicationEngineering the Future of Biomedicine, EMBC 2009
PublisherIEEE Computer Society
Pages4539-4542
Number of pages4
ISBN (Print)9781424432967
DOIs
StatePublished - Sep 3 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Publication series

NameProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/TerritoryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

Fingerprint

Dive into the research topics of 'Cortical imaging of sensorimotor rhythms for BCI applications'. Together they form a unique fingerprint.

Cite this