Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification

Tae Eui Kam, Seong Whan Lee

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

1 Citation (Scopus)

Abstract

Neuronal power attenuation or enhancement in the specific frequency bands over the sensorimotor cortex, called Event-Related Desynchronization (ERD) or Event-Related Synchronization (ERS), is one of the major phenomena in brain signals evoked by imagination of body parts movement. So many research groups have devoted their efforts to extract discriminative features by utilizing these phenomena and to classify different motor imageries. It is, however, known that the nature of the motor imagery related EEG signals is highly dependent on the subjects and variable over trial to trial. To address this issue, in this paper, we propose a novel method of optimizing discriminative spatial filters on a time domain in each frequency band. It effectively reflects changes of subject-specific discriminative spatial distributions of the ERD/ERS patterns on a time domain in different frequency bands. We assess the proposed method with experiments of 4-class motor imagery (left-hand, right-hand, foot, and tongue) classification using the BCI Competition IV dataset 2-a. Experimental results show that the proposed method outperformed previous methods in the literature.

Original languageEnglish
Title of host publicationProceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011
Pages17-20
Number of pages4
DOIs
Publication statusPublished - 2011 Aug 29
EventInternational Workshop on Pattern Recognition in NeuroImaging, PRNI 2011 - Seoul, Korea, Republic of
Duration: 2011 May 162011 May 18

Other

OtherInternational Workshop on Pattern Recognition in NeuroImaging, PRNI 2011
CountryKorea, Republic of
CitySeoul
Period11/5/1611/5/18

Fingerprint

Imagery (Psychotherapy)
Electroencephalography
Frequency bands
Synchronization
Hand
Imagination
Spatial distribution
Brain
Human Body
Tongue
Foot
Experiments
Research

Keywords

  • Brain-computer interface
  • Electroencephalography
  • Motor imagery
  • Optimizing time-dependent spatial filters

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Kam, T. E., & Lee, S. W. (2011). Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification. In Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011 (pp. 17-20). [5961301] https://doi.org/10.1109/PRNI.2011.21

Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification. / Kam, Tae Eui; Lee, Seong Whan.

Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011. 2011. p. 17-20 5961301.

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

Kam, TE & Lee, SW 2011, Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification. in Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011., 5961301, pp. 17-20, International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011, Seoul, Korea, Republic of, 11/5/16. https://doi.org/10.1109/PRNI.2011.21
Kam TE, Lee SW. Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification. In Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011. 2011. p. 17-20. 5961301 https://doi.org/10.1109/PRNI.2011.21
Kam, Tae Eui ; Lee, Seong Whan. / Optimizing time-dependent discriminative spatial filter for EEG-based multi-class motor imagery classification. Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011. 2011. pp. 17-20
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