SSVEP-TRCA-R-master

所属分类:其他
开发工具:matlab
文件大小:7234KB
下载次数:7
上传日期:2020-09-28 09:24:34
上 传 者小希希哇
说明:  脑电信号的分类识别,联合CCA和TRCA算法
(Classification and recognition of EEG signals, combined with CCA and TRCA algorithm)

文件列表:
LICENSE (35149, 2020-08-01)
demo_trca_trcar_mtrca_ssvep_recognition.m (17484, 2020-08-01)
exampleData.mat (7398131, 2020-08-01)
ref_signal_nh.m (492, 2020-08-01)

# TRCA and it variants: SSVEP Recognition This code shows how to use the task-related component analysis (TRCA), the TRCA with reference signal (TRCA-R), and the modified TRCA (mTRCA) for SSVEP recognition. Please refer the following papers for more details: TRCA: Nakanishi, M., et al. (2017). Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis. IEEE Transactions on Biomedical Engineering, 65(1), 104-112. TRCA-R: Wong, C. M., et al. (2020). Spatial Filtering in SSVEP-based BCIs: Unified Framework and New Improvements. IEEE Transactions on Biomedical Engineering. mTRCA: Tang, J. et al. Optimizing SSVEP-Based % BCI System towards Practical High-Speed Spelling. Sensors 2020, 20, 4186 This code is prepared by Chi Man Wong (chiman465@gmail.com) # Version: 27 July 2020 (v1.0): TRCA and TRCA-R 29 July 2020 (v1.1): Add mTRCA # Citation: If you use this code for a publication, please cite the following paper: @article{wong2020spatial, title={Spatial Filtering in SSVEP-based BCIs: Unified Framework and New Improvements}, author={Wong, Chi Man and Wang, Boyu and Wang, Ze and Lao, Ka Fai and Rosa, Agostinho and Wan, Feng}, journal={IEEE Transactions on Biomedical Engineering}, year={2020}, publisher={IEEE} } # Feedback: Please email me (chiman465@gmail.com) if you find any mistakes and problems about it.

近期下载者

相关文件


收藏者