Generation of spatial filters by ICA for detecting motor-related oscillatory EEG

Shin'Ichiro Kanoh, Ko Ichiro Miyamoto, Tatsuo Yoshinobu

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

Abstract

To detect the imagined limb movement from EEG for the use in BCI, the increase (ERS) and decrease (ERD) of the band power of the EEG originated from the sensorimotor cortex are commonly used. A spatial filter using neighboring channels is generally applied to the measured EEG for detecting such brain activity related to the motor imagery. However, the configuration and location of the spatial filter have been selected by the empirical method on trial-and-error basis. In this study, we recorded the EEG during motor imagery of left hand, right hand and feet from five subjects, and the ICA (independent component analysis) was applied to discover the spatial filters for extracting event-related EEG components of the motor imagery. It was suggested that the application of ICA might offer the experimenters appropriate local spatial filters, or at least, the initial guess for designing or selecting custom local spatial filters.

LanguageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages1703-1706
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA
Duration: 2012 Aug 282012 Sep 1

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CitySan Diego, CA
Period12/8/2812/9/1

Fingerprint

Independent component analysis
Electroencephalography
Brain

ASJC Scopus subject areas

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

Cite this

Kanoh, SI., Miyamoto, K. I., & Yoshinobu, T. (2012). Generation of spatial filters by ICA for detecting motor-related oscillatory EEG. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 1703-1706). [6346276] DOI: 10.1109/EMBC.2012.6346276

Generation of spatial filters by ICA for detecting motor-related oscillatory EEG. / Kanoh, Shin'Ichiro; Miyamoto, Ko Ichiro; Yoshinobu, Tatsuo.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. p. 1703-1706 6346276.

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

Kanoh, SI, Miyamoto, KI & Yoshinobu, T 2012, Generation of spatial filters by ICA for detecting motor-related oscillatory EEG. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6346276, pp. 1703-1706, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, 12/8/28. DOI: 10.1109/EMBC.2012.6346276
Kanoh SI, Miyamoto KI, Yoshinobu T. Generation of spatial filters by ICA for detecting motor-related oscillatory EEG. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. p. 1703-1706. 6346276. Available from, DOI: 10.1109/EMBC.2012.6346276
Kanoh, Shin'Ichiro ; Miyamoto, Ko Ichiro ; Yoshinobu, Tatsuo. / Generation of spatial filters by ICA for detecting motor-related oscillatory EEG. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. pp. 1703-1706
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