181 related articles for article (PubMed ID: 36138888)
1. Effects of Low Mental Energy from Long Periods of Work on Brain-Computer Interfaces.
Liu K; Yu Y; Zeng LL; Liang X; Liu Y; Chu X; Lu G; Zhou Z
Brain Sci; 2022 Aug; 12(9):. PubMed ID: 36138888
[TBL] [Abstract][Full Text] [Related]
2. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.
Chen X; Wang Y; Gao S; Jung TP; Gao X
J Neural Eng; 2015 Aug; 12(4):046008. PubMed ID: 26035476
[TBL] [Abstract][Full Text] [Related]
3. A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients.
Ma P; Dong C; Lin R; Ma S; Jia T; Chen X; Xiao Z; Qi Y
J Neurosci Methods; 2022 Apr; 371():109502. PubMed ID: 35151665
[TBL] [Abstract][Full Text] [Related]
4. A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer.
Yang C; Han X; Wang Y; Saab R; Gao S; Gao X
Int J Neural Syst; 2018 Dec; 28(10):1850028. PubMed ID: 30105920
[TBL] [Abstract][Full Text] [Related]
5. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI.
Chang MH; Lee JS; Heo J; Park KS
J Neurosci Methods; 2016 Jan; 258():104-13. PubMed ID: 26561770
[TBL] [Abstract][Full Text] [Related]
6. Training -Free Steady-State Visual Evoked Potential Brain-Computer Interface Based on Filter Bank Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding.
Ge S; Jiang Y; Wang P; Wang H; Zheng W
IEEE Trans Neural Syst Rehabil Eng; 2019 Sep; 27(9):1714-1723. PubMed ID: 31403435
[TBL] [Abstract][Full Text] [Related]
7. A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy.
Chen Y; Yang C; Chen X; Wang Y; Gao X
J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 32380480
[No Abstract] [Full Text] [Related]
8. A L1 normalization enhanced dynamic window method for SSVEP-based BCIs.
Zhou W; Liu A; Wu L; Chen X
J Neurosci Methods; 2022 Oct; 380():109688. PubMed ID: 35973644
[TBL] [Abstract][Full Text] [Related]
9. A Precise Frequency Recognition Method of Short-Time SSVEP Signals Based on Signal Extension.
Li H; Xu G; Li Z; Zhang K; Zheng X; Du C; Han C; Kuang J; Du Y; Zhang S
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2486-2496. PubMed ID: 37155399
[TBL] [Abstract][Full Text] [Related]
10. Novel hybrid visual stimuli incorporating periodic motions into conventional flickering or pattern-reversal visual stimuli for steady-state visual evoked potential-based brain-computer interfaces.
Kwon J; Hwang J; Nam H; Im CH
Front Neuroinform; 2022; 16():997068. PubMed ID: 36213545
[TBL] [Abstract][Full Text] [Related]
11. The effect of stimulus number on the recognition accuracy and information transfer rate of SSVEP-BCI in augmented reality.
Zhang R; Xu Z; Zhang L; Cao L; Hu Y; Lu B; Shi L; Yao D; Zhao X
J Neural Eng; 2022 May; 19(3):. PubMed ID: 35477130
[No Abstract] [Full Text] [Related]
12. Implementing a calibration-free SSVEP-based BCI system with 160 targets.
Chen Y; Yang C; Ye X; Chen X; Wang Y; Gao X
J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34134091
[No Abstract] [Full Text] [Related]
13. A comparative study of stereo-dependent SSVEP targets and their impact on VR-BCI performance.
Liu H; Wang Z; Li R; Zhao X; Xu T; Zhou T; Hu H
Front Neurosci; 2024; 18():1367932. PubMed ID: 38660227
[TBL] [Abstract][Full Text] [Related]
14. A frequency recognition method based on multitaper spectral analysis and SNR estimation for SSVEP-based brain-computer interface.
Chen Yang ; Xu Han ; Yijun Wang ; Xiaorong Gao
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1930-1933. PubMed ID: 29060270
[TBL] [Abstract][Full Text] [Related]
15. Spatio-Spectral CCA (SS-CCA): A novel approach for frequency recognition in SSVEP-based BCI.
Norizadeh Cherloo M; Kashefi Amiri H; Daliri MR
J Neurosci Methods; 2022 Apr; 371():109499. PubMed ID: 35151668
[TBL] [Abstract][Full Text] [Related]
16. Effects of inter-stimulus intervals on concurrent P300 and SSVEP features for hybrid brain-computer interfaces.
Han J; Liu C; Chu J; Xiao X; Chen L; Xu M; Ming D
J Neurosci Methods; 2022 Apr; 372():109535. PubMed ID: 35202615
[TBL] [Abstract][Full Text] [Related]
17. Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.
Rabiul Islam M; Khademul Islam Molla M; Nakanishi M; Tanaka T
J Neural Eng; 2017 Apr; 14(2):026007. PubMed ID: 28071599
[TBL] [Abstract][Full Text] [Related]
18. An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control.
Wang K; Zhai DH; Xiong Y; Hu L; Xia Y
IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2159-2167. PubMed ID: 34951857
[TBL] [Abstract][Full Text] [Related]
19. Filter bank approach for enhancement of supervised Canonical Correlation Analysis methods for SSVEP-based BCI spellers.
Bolanos MC; Barrado Ballestero S; Puthusserypady S
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():337-340. PubMed ID: 34891304
[TBL] [Abstract][Full Text] [Related]
20. Incorporation of dynamic stopping strategy into the high-speed SSVEP-based BCIs.
Jiang J; Yin E; Wang C; Xu M; Ming D
J Neural Eng; 2018 Aug; 15(4):046025. PubMed ID: 29774867
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]