Aminaka Daiki, Makino Shoji, Rutkowski Tomasz M
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1906-9. doi: 10.1109/EMBC.2015.7318755.
We present results of an approach to a code-modulated visual evoked potential (cVEP) based brain-computer interface (BCI) paradigm using four high-frequency flashing stimuli. To generate higher frequency stimulation compared to the state-of-the-art cVEP-based BCIs, we propose to use the light-emitting diodes (LEDs) driven from a small micro-controller board hardware generator designed by our team. The high-frequency and green-blue chromatic flashing stimuli are used in the study in order to minimize a danger of a photosensitive epilepsy (PSE). We compare the the green-blue chromatic cVEP-based BCI accuracies with the conventional white-black flicker based interface. The high-frequency cVEP responses are identified using a canonical correlation analysis (CCA) method.
我们展示了一种基于代码调制视觉诱发电位（cVEP）的脑机接口（BCI）范式的研究结果，该范式使用了四种高频闪烁刺激。为了产生比现有基于cVEP的脑机接口更高频率的刺激，我们建议使用由我们团队设计的小型微控制器板硬件发生器驱动的发光二极管（LED）。本研究中使用高频和绿蓝色闪烁刺激，以尽量降低光敏性癫痫（PSE）的风险。我们将基于绿蓝色cVEP的脑机接口准确率与传统的基于黑白闪烁的接口进行了比较。使用典型相关分析（CCA）方法识别高频cVEP响应。
