Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.
Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.
复制标题
DOI：
10.1109/embc46164.2021.9630048
复制
发表时间：
2021-11
期刊：
影响因子：
--
通讯作者：
Mainsah BO
中科院分区：
文献类型：
--
作者：
Chen XJ;Collins LM;Mainsah BO
刺激驱动的脑机接口(BCI)，如P300拼写，依赖于使用感觉刺激来诱导特定的神经信号成分，称为事件相关电位(ERPs)来控制外部设备。然而，心理物理因素，如顽固效应和邻接干扰，可能会对事件相关电位的激发和脑-机接口的表现产生负面影响。虽然传统的脑机接口刺激呈现范式通常以伪随机的方式设计刺激呈现时间表，但最近的研究表明，控制刺激选择过程可以提高事件相关电位的启发性。在以前的工作中，我们开发了一种算法，使用一个客观标准来自适应地选择BCI刺激，该标准最大化了关于用户意图的信息量，这些信息量可以在给定的当前数据条件下由所呈现的刺激引起。在本文中，我们通过在目标函数中对事件相关电位的时间相关性进行建模，并在刺激搜索空间中施加空间限制，来增强这种自适应脑机接口刺激选择算法，以减少邻接干扰和不相容效应。使用合成数据和来自BCI研究的人类数据的模拟结果表明，与传统的BCI刺激呈现范例相比，增强的自适应刺激选择算法可以提高拼写速度。
Stimulus-driven brain-computer interfaces (BCIs), such as the P300 speller, rely on using sensory stimuli to elicit specific neural signal components called event-related potentials (ERPs) to control external devices. However, psychophysical factors, such as refractory effects and adjacency distractions, may negatively impact ERP elicitation and BCI performance. Although conventional BCI stimulus presentation paradigms usually design stimulus presentation schedules in a pseudo-random manner, recent studies have shown that controlling the stimulus selection process can enhance ERP elicitation. In prior work, we developed an algorithm to adaptively select BCI stimuli using an objective criterion that maximizes the amount of information about the user’s intent that can be elicited with the presented stimuli given current data conditions. Here, we enhance this adaptive BCI stimulus selection algorithm to mitigate adjacency distractions and refractory effects by modeling temporal dependencies of ERP elicitation in the objective function and imposing spatial restrictions in the stimulus search space. Results from simulations using synthetic data and human data from a BCI study show that the enhanced adaptive stimulus selection algorithm can improve spelling speeds relative to conventional BCI stimulus presentation paradigms.
影响因子：
4
作者：
Mainsah BO;Collins LM;Throckmorton CS
通讯作者：
Throckmorton CS