A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients-Reference-Cited by-同舟云学术

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A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients

Published:2022-04 Issue: Volume:371 Page:109502
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Ma Pengfei,Dong Chaoyi,Lin Ruijing,Ma Shuang,Jia Tingting,Chen Xiaoyan,Xiao Zhiyun,Qi Yongsheng

Funder

National Natural Science Foundation of China

Inner Mongolia Autonomous Region Natural Science Foundation

Publisher

Elsevier BV

Subject

General Neuroscience

Reference35 articles.

1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis;Arnaud;J. Neurosci. Methods,2004

2. Transfer learning and SpecAugment applied to SSVEP based BCI classification;Bassi;Biomed. Signal Process. Control,2021

3. An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method;Bin;J. Neural Eng.,2009

4. Bousseta R., Tayeb S., Ouakouak I.E., Gharbi M., Regragui F. and Himmi M.M., 2016. EEG efficient classification of imagined hand movement using RBF kernel SVM[C]// 2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA), Mohammedia, Morocco, 2016, pp. 1–6.

5. Chatzilari E., Liarios G., Georgiadis K., et al. 2017. Combining the Benefits of CCA and SVMs for SSVEP-based BCIs in Real-world Conditions[J]. 2017:3–10.

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