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.
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