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

• Published in: IEEE transactions on biomedical engineering Vol. 65; no. 1; pp. 104 - 112
• Main Authors: Nakanishi, Masaki, Wang, Yijun, Chen, Xiaogang, Wang, Yu-Te, Gao, Xiaorong, Jung, Tzyy-Ping
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; Background noise; Biomedical monitoring; Brain; Brain - physiology; Brain-Computer Interfaces; Brain-computer interfaces (BCI); Calibration; Computer applications; Correlation analysis; EEG; Electroencephalography; electroencephalography (EEG); Electroencephalography - methods; Evoked Potentials, Visual - physiology; Female; Filtering; Frequency shift keying; High speed; Human-computer interface; Humans; Implants; Information transfer; Internet; Male; Monitoring; Reproducibility; Signal Processing, Computer-Assisted; Spatial data; Spatial filtering; steady-state visual evoked potentials (SSVEP); Task Performance and Analysis; task-related component analysis (TRCA); Visual evoked potentials; Visualization; Young Adult

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 reproducib...