Multimodal Brain-Computer Interfaces

作     者：Alexander Maye Dan ZHANG Yijun WANG Shangkai GAO Andreas K. Engel 

作者机构：Department of Neurophysiology and Pathophysiology University Medical Center Hamburg Eppendorf Martinistr. 52 20246 Hamburg Germany Department of Biomedical Engineering Tsinghua University Beijing 100084 China Swartz Center for Computational Neuroscience University of California San Diego CA 92093-0559 USA 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2011年第16卷第2期

页      面：133-139页

核心收录：

学科分类：08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the Sino-German Research Training Group CINACS DFG GRK 1247/1 

主　　题：steady-state evoked potentials SSVEP SSSEP attention EEG support vector machine 

摘      要：A critical parameter of brain-computer interfaces （BCIs） is the number of dimensions a user can control independently. One way to increment this number without increasing the mental effort required to operate the system is to stimulate several sensory modalities simultaneously, and to distinguish brain activity patterns when the user focuses attention to different elements of this multisensory input. In this article we show how shifting attention between simultaneously presented tactile and visual stimuli affects the electrical brain activity of human subjects, and that this signal can be used to augment the control information from the two uni-modal BCI subsystems.