Kapgate Deepak D
Computer Engineering, Faculty of Engineering and Technology, Sankalchand Patel University, 384315 Visnagar, Gujarat, India; Department of Computer Science and Engineering, TGP College of Engineering and Technology, Nagpur University, 440033 Nagpur, Maharashtra, India.
Brain Res. 2024 Oct 15;1841:149092. doi: 10.1016/j.brainres.2024.149092. Epub 2024 Jun 17.
This study proposes a hybrid brain-computer interface (BCI) system that simultaneously evokes steady-state visual evoked potentials (SSVEP) and event-related potentials (P300). The goal of this study was to improve the performance of the current hybrid SSVEP + P300 BCI systems by incorporating inverted faces into visual stimuli.
In this study, upright and inverted faces were added to visual stimulus to elicit stronger cortical responses in a hybrid SSVEP + P300 BCI. We also considered triggering the P300 signals with facial stimuli and the SSVEP signals with non-facial stimuli. We have tested four paradigms: the upright face paradigm (UF), the inverted face paradigm (IF), the upright face and flicker paradigm (UFF), and the inverted face and flicker paradigm (IFF).
The results showed that the IFF paradigm evoked more robust cortical responses, which led to enhanced system accuracy and ITR. The IFF paradigm had an average accuracy of 96.6% and a system communication rate of 26.45 bits per second. The UFF paradigm is the best candidate for BCI applications among other paradigms because it provides maximum comfort while maintaining a reasonable ITR.
本研究提出了一种混合脑机接口（BCI）系统，该系统同时诱发稳态视觉诱发电位（SSVEP）和事件相关电位（P300）。本研究的目的是通过将倒置面孔纳入视觉刺激来提高当前混合SSVEP + P300 BCI系统的性能。
在本研究中，将正立和倒置面孔添加到视觉刺激中，以在混合SSVEP + P300 BCI中引发更强的皮层反应。我们还考虑用面部刺激触发P300信号，用非面部刺激触发SSVEP信号。我们测试了四种范式：正立面孔范式（UF）、倒置面孔范式（IF）、正立面孔与闪烁范式（UFF）和倒置面孔与闪烁范式（IFF）。
结果表明，IFF范式诱发了更强健的皮层反应，从而提高了系统准确性和信息传输率（ITR）。IFF范式的平均准确率为96.6%，系统通信速率为每秒26.45比特。在其他范式中，UFF范式是BCI应用的最佳候选者，因为它在保持合理ITR的同时提供了最大的舒适度。
