High-speed spelling with a noninvasive brain-computer interface
High-speed spelling with a noninvasive brain-computer interface
复制标题
通过无创脑机接口进行高速拼写
DOI：
10.1073/pnas.1508080112
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发表时间：
2015-11-03
影响因子：
11.1
通讯作者：
Gao, Shangkai
中科院分区：
文献类型：
--
作者：
Chen, Xiaogang;Wang, Yijun;Gao, Shangkai
在过去的20年里，脑机接口（BCI）取得了前所未有的进展。然而，低通信速率仍然是人类基于BCI的通信的关键障碍。这项研究提出了一种基于脑电图的BCI拼写器，可以实现高达每秒5.32位的信息传输速率（ITR），使用非侵入性或侵入性方法的BCI拼写器中报告的最高ITR。基于视觉闪烁信号和单次稳态视觉诱发电位之间频率和相位的高度一致性，本研究开发了一种同步调制和解调范式来实现拼写器。具体而言，本研究提出了一种新的联合频率相位调制方法，以标记40个字符与0.5 s长的闪烁信号，并开发了一个用户特定的目标识别算法，使用个人校准数据。拼写者在在线拼写任务中获得了高ITR。这项研究表明，脑机接口可以提供一个真正自然的高速通信通道，使用非侵入性记录的大脑活动。
The past 20 years have witnessed unprecedented progress in brain-computer interfaces (BCIs). However, low communication rates remain key obstacles to BCI-based communication in humans. This study presents an electroencephalogram-based BCI speller that can achieve information transfer rates (ITRs) up to 5.32 bits per second, the highest ITRs reported in BCI spellers using either noninvasive or invasive methods. Based on extremely high consistency of frequency and phase observed between visual flickering signals and the elicited single-trial steady-state visual evoked potentials, this study developed a synchronous modulation and demodulation paradigm to implement the speller. Specifically, this study proposed a new joint frequency-phase modulation method to tag 40 characters with 0.5-s-long flickering signals and developed a user-specific target identification algorithm using individual calibration data. The speller achieved high ITRs in online spelling tasks. This study demonstrates that BCIs can provide a truly naturalistic high-speed communication channel using noninvasively recorded brain activities.