Enhancing unsupervised canonical correlation analysis-based frequency detection of SSVEPs by incorporating background EEG

Masaki Nakanishi, Yijun Wang, Yu Te Wang, Yasue Mitsukura, Tzyy Ping Jung

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to provide a fast communication channel between human brain and external devices. In SSVEP-based BCIs, Canonical Correlation Analysis (CCA) has been widely used to detect frequency-coded SSVEPs due to its high efficiency and robustness. However, the detectability of SSVEPs differs among frequencies due to a power-law distribution of the power spectra of spontaneous electroencephalogram (EEG) signals. This study proposed a new method based on the fact that changes of canonical correlation coefficients for SSVEPs and background EEG signals follow the same trend along frequency. The proposed method defined a normalized canonical correlation coefficient, the ratio of the canonical correlation coefficient for SSVEPs to the mean of the canonical correlation coefficients for background EEG signals, to enhance the frequency detection of SSVEPs. An SSVEP dataset from 13 subjects was used for comparing classification performance between the proposed method and the standard CCA method. Classification accuracy and simulated information transfer rates (ITR) suggest that, in an unsupervised way, the proposed method could considerably improve the frequency detection accuracy of SSVEPs with little computational effort.

本文言語English
ホスト出版物のタイトル2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3053-3056
ページ数4
ISBN(電子版)9781424479290
DOI
出版ステータスPublished - 2014 11月 2
イベント2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
継続期間: 2014 8月 262014 8月 30

出版物シリーズ

名前2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
国/地域United States
CityChicago
Period14/8/2614/8/30

ASJC Scopus subject areas

  • 健康情報学
  • コンピュータ サイエンスの応用
  • 生体医工学
  • 医学(全般)

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