期刊
BRAIN-COMPUTER INTERFACES
卷 1, 期 3-4, 页码 181-191出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/2326263X.2014.944469
关键词
EEG; BCI; SSVEP; speller; ITR
资金
- National Basic Research Program (973) of China [2011CB933204]
- National Natural Science Foundation of China [90820304, 91120007]
- Chinese 863 Project [2012AA011601]
Spelling is an important application of brain-computer interfaces (BCIs). Previous BCI spellers were not suited for widespread use due to their low information transfer rate (ITR). In this study, we constructed a high-ITR BCI speller based on the steady-state visual evoked potential (SSVEP). A 45-target BCI speller was implemented with a frequency resolution of 0.2 Hz. A sampled sinusoidal stimulation method was used to present visual stimuli on a conventional LCD screen. The online results revealed that the proposed BCI speller had a good performance, reaching a high average accuracy (84.1% for 2 s stimulation time; 90.2% for 3 s stimulation time) and the corresponding high ITR (105 bits/min for 2 s stimulation time, 82 bits/min for 3 s stimulation time) during the low-frequency stimuli, while 88.7% and 61 bits/min were achieved for a 4 s time window during the high-frequency stimuli.
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