Wang Yu-Te, Wang Yijun, Cheng Chung-Kuan, Jung Tzyy-Ping
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:5271-4. doi: 10.1109/EMBC.2013.6610738.
This study integrates visual stimulus presentation and near real-time data processing on a mobile device (e.g. a Tablet or a cell-phone) to implement a steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI). The goal of this study is to increase the practicability, portability and ubiquity of an SSVEP-based BCI for daily use. The accuracy of flickering frequencies on the mobile SSVEP BCI system was tested against that on a laptop/desktop used in our previous studies. This study then analyzed the power spectrum density of the electroencephalogram signals elicited by the visual stimuli rendered on the mobile BCIs. Finally, this study performed an online test with the Tablet-based BCI system and obtained an averaged information transfer rate of 33.87 bits/min in three subjects. The current integration leads to a truly practical and ubiquitous SSVEP BCI on mobile devices for real-life applications.
本研究在移动设备（如平板电脑或手机）上集成了视觉刺激呈现和近实时数据处理，以实现基于稳态视觉诱发电位（SSVEP）的脑机接口（BCI）。本研究的目标是提高基于SSVEP的BCI在日常使用中的实用性、便携性和普及性。将移动SSVEP BCI系统上闪烁频率的准确性与我们之前研究中使用的笔记本电脑/台式机上的准确性进行了测试。然后，本研究分析了在移动BCI上呈现视觉刺激所诱发的脑电图信号的功率谱密度。最后，本研究使用基于平板电脑的BCI系统进行了在线测试，在三名受试者中获得了平均33.87比特/分钟的信息传输率。当前的集成使得基于SSVEP的BCI在移动设备上真正实用且普及，可用于实际生活应用。
