A high-ITR SSVEP-based BCI speller
A high-ITR SSVEP-based BCI speller
复制标题
基于 SSVEP 的高 ITR BCI 拼写器
DOI:
10.1080/2326263x.2014.944469
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发表时间:
2014-01-01
影响因子:
2.1
通讯作者:
Gao, Xiaorong
中科院分区:
文献类型:
--
作者:
Chen, Xiaogang;Chen, Zhikai;Gao, Xiaorong
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.