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

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
EditorsD. M. Akbar Hussain, Geetam Singh Tomar, Geetam Singh Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-69
Number of pages5
ISBN (Electronic)9781538625774
DOIs
Publication statusPublished - Aug 2018
Externally publishedYes
Event10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 - Esbjerg, Denmark
Duration: Aug 17 2018Aug 19 2018

Publication series

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

Conference

Conference10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
CountryDenmark
CityEsbjerg
Period8/17/188/19/18

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computer Networks and Communications
  • Computer Science Applications
  • Artificial Intelligence

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  • Cite this

    Sun, G., Shi, Y., Liu, H., Jiang, Y., Lin, P., Gao, J., Wang, R., Leng, Y., Yang, Y., Ge, S., & Iramina, K. (2018). The sinusoidal assisted MEMD based CCA method for SSVEP based BCI improvement. In D. M. Akbar Hussain, G. S. Tomar, & G. S. Tomar (Eds.), Proceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 (pp. 65-69). [8864953] (Proceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CICN.2018.8864953