Sinusoid-assisted MEMD-based CCA method for SSVEP-based BCI improvement

Gaopeng Sun, Yanhua Shi, Hui Liu, Yichuan Jiang, Pan Lin, Junfeng Gao, Ruimin Wang, Yue Leng, Yuankui Yang, Iramina Keiji, Sheng Ge

研究成果: 著書/レポートタイプへの貢献会議での発言

抜粋

Although the canonical correlation analysis (CCA) algorithm has been applied successfully to steady-state visual evoked potential (SSVEP) detection, artifacts and unrelated brain activities may affect the performance of SSVEP-based brain-computer interface systems. Extracting the characteristic frequency sub-bands is an effective method of enhancing the signal-to-noise-ratio of SSVEP signals. The sinusoid-assisted multivariate extension of empirical mode decomposition (SA-MEMD) algorithm is a powerful method of spectral decomposition. In this study, we propose an SA-MEMD-based CCA method for SSVEP detection. Experimental results suggest that the SA-MEMD-based CCA algorithm is a useful method for the detection of typical SSVEP signals. The SA-MEMD-based CCA algorithm reached a classification accuracy of 88.3% for a window of 4 s and outperformed the standard CCA algorithm by 2.8%.

元の言語英語
ホスト出版物のタイトル2018 International Conference on Image and Video Processing, and Artificial Intelligence
編集者Ruidan Su
出版者SPIE
ISBN(電子版)9781510623101
DOI
出版物ステータス出版済み - 1 1 2018
イベント2018 International Conference on Image and Video Processing, and Artificial Intelligence, IVPAI 2018 - Shanghai, 中国
継続期間: 8 15 20188 17 2018

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
10836
ISSN(印刷物)0277-786X
ISSN(電子版)1996-756X

会議

会議2018 International Conference on Image and Video Processing, and Artificial Intelligence, IVPAI 2018
中国
Shanghai
期間8/15/188/17/18

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

これを引用

Sun, G., Shi, Y., Liu, H., Jiang, Y., Lin, P., Gao, J., ... Ge, S. (2018). Sinusoid-assisted MEMD-based CCA method for SSVEP-based BCI improvement. : R. Su (版), 2018 International Conference on Image and Video Processing, and Artificial Intelligence [1083628] (Proceedings of SPIE - The International Society for Optical Engineering; 巻数 10836). SPIE. https://doi.org/10.1117/12.2514420