期刊
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
卷 24, 期 6, 页码 -出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0129065714500191
关键词
Steady-state visual evoked potential; brain-computer interface; mixed frequency and phase coding; speller
资金
- Swartz Foundation
- Office of Naval Research [N00014-08-1215]
- Army Research Office [W911NF-09-1-0510]
- Army Research Laboratory [W911NF-10-2-0022]
- DARPA [USDI D11PC20183]
- Japan Society for the Promotion of Science
- Grants-in-Aid for Scientific Research [13J05691] Funding Source: KAKEN
Implementing a complex spelling program using a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) remains a challenge due to difficulties in stimulus presentation and target identification. This study aims to explore the feasibility of mixed frequency and phase coding in building a high-speed SSVEP speller with a computer monitor. A frequency and phase approximation approach was developed to eliminate the limitation of the number of targets caused by the monitor refresh rate, resulting in a speller comprising 32 flickers specified by eight frequencies (8-15 Hz with a 1Hz interval) and four phases (0 degrees, 90 degrees, 180 degrees, and 270 degrees). A multi-channel approach incorporating Canonical Correlation Analysis (CCA) and SSVEP training data was proposed for target identification. In a simulated online experiment, at a spelling rate of 40 characters per minute, the system obtained an averaged information transfer rate (ITR) of 166.91 bits/min across 13 subjects with a maximum individual ITR of 192.26 bits/min, the highest ITR ever reported in electroencephalogram (EEG)-based BCIs. The results of this study demonstrate great potential of a high-speed SSVEP-based BCI in real-life applications.
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