The sinusoidal 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, Sheng Ge, Keiji Iramina

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Although the canonical correlation analysis (CCA) algorithm has been applied successfully to SSVEP detection, artifacts and unrelated brain activities may influence the performance of the steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCI) system. Extracting the characteristic frequency sub-bands is an effective method to enhance the signal-to-noise-ratio of SSVEP signals. The sinusoid-assisted MEMD (SA-MEMD) algorithm is a powerful method for spectral decomposition. In this study, we propose an SA-MEMD based CCA method for SSVEP detection. The results suggest that the SA-MEMD based CCA algorithm is a useful method in the detection of typical SSVEP signals. The classification accuracy achieved 88.3% in a 4 s time window and there was a 2.8% improvement compared with the standard CCA algorithm.

本文言語英語
ホスト出版物のタイトルProceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
編集者D. M. Akbar Hussain, Geetam Singh Tomar, Geetam Singh Tomar
出版社Institute of Electrical and Electronics Engineers Inc.
ページ65-69
ページ数5
ISBN(電子版)9781538625774
DOI
出版ステータス出版済み - 8月 2018
外部発表はい
イベント10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 - Esbjerg, デンマーク
継続期間: 8月 17 20188月 19 2018

出版物シリーズ

名前Proceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018

会議

会議10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
国/地域デンマーク
CityEsbjerg
Period8/17/188/19/18

!!!All Science Journal Classification (ASJC) codes

  • 制御と最適化
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 人工知能

フィンガープリント

「The sinusoidal assisted MEMD based CCA method for SSVEP based BCI improvement」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル