Rutkowski Tomasz M, Mori Hiromu
Life Science Center of TARA, University of Tsukuba, Japan; RIKEN Brain Science Institute, Japan.
Life Science Center of TARA, University of Tsukuba, Japan.
J Neurosci Methods. 2015 Apr 15;244:45-51. doi: 10.1016/j.jneumeth.2014.04.010. Epub 2014 Apr 21.
The paper presents a report on the recently developed BCI alternative for users suffering from impaired vision (lack of focus or eye-movements) or from the so-called "ear-blocking-syndrome" (limited hearing). We report on our recent studies of the extents to which vibrotactile stimuli delivered to the head of a user can serve as a platform for a brain computer interface (BCI) paradigm.
In the proposed tactile and bone-conduction auditory BCI novel multiple head positions are used to evoke combined somatosensory and auditory (via the bone conduction effect) P300 brain responses, in order to define a multimodal tactile and bone-conduction auditory brain computer interface (tbcaBCI). In order to further remove EEG interferences and to improve P300 response classification synchrosqueezing transform (SST) is applied. SST outperforms the classical time-frequency analysis methods of the non-linear and non-stationary signals such as EEG. The proposed method is also computationally more effective comparing to the empirical mode decomposition. The SST filtering allows for online EEG preprocessing application which is essential in the case of BCI.
Experimental results with healthy BCI-naive users performing online tbcaBCI, validate the paradigm, while the feasibility of the concept is illuminated through information transfer rate case studies.
COMPARISON WITH EXISTING METHOD(S): We present a comparison of the proposed SST-based preprocessing method, combined with a logistic regression (LR) classifier, together with classical preprocessing and LDA-based classification BCI techniques.
The proposed tbcaBCI paradigm together with data-driven preprocessing methods are a step forward in robust BCI applications research.
本文介绍了一种针对视力受损（注意力不集中或眼球运动障碍）或所谓“耳阻塞综合征”（听力受限）用户的最新脑机接口替代方案。我们报告了近期关于向用户头部施加振动触觉刺激作为脑机接口（BCI）范式平台的研究程度。
在所提出的触觉和骨传导听觉BCI中，使用新颖的多个头部位置来诱发组合的体感和听觉（通过骨传导效应）P300脑反应，以定义多模态触觉和骨传导听觉脑机接口（tbcaBCI）。为了进一步消除脑电图干扰并改善P300反应分类，应用了同步挤压变换（SST）。SST优于脑电图等非线性和非平稳信号的经典时频分析方法。与经验模式分解相比，所提出的方法在计算上也更有效。SST滤波允许在线脑电图预处理应用，这在BCI情况下至关重要。
对未接触过BCI的健康用户进行在线tbcaBCI的实验结果验证了该范式，同时通过信息传输率案例研究阐明了该概念的可行性。
我们将所提出的基于SST的预处理方法与逻辑回归（LR）分类器相结合，与经典预处理和基于LDA的分类BCI技术进行了比较。
所提出的tbcaBCI范式以及数据驱动的预处理方法是稳健BCI应用研究向前迈出的一步。
