Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis

@article{Nakanishi2018EnhancingDO,
  title={Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis},
  author={Masaki Nakanishi and Yijun Wang and Xiaogang Chen and Yu-Te Wang and Xiaorong Gao and Tzyy-Ping Jung},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2018},
  volume={65},
  pages={104-112}
}
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high-speed brain-computer interface (BCI) speller. Methods: Task-related component analysis (TRCA), which can enhance reproducibility of SSVEPs across multiple trials, was employed to improve the signal-to-noise ratio (SNR) of SSVEP signals by removing background electroencephalographic (EEG) activities. An ensemble method… CONTINUE READING