文献类型：期刊文献

英文题名：A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm

作者：Jin, Jing[1];Sellers, Eric W.[2];Zhou, Sijie[1];Zhang, Yu[1];Wang, Xingyu[1];Cichocki, Andrzej[3,4]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]E Tennessee State Univ, Dept Psychol, Brain Comp Interface Lab, Johnson City, TN 37614 USA;[3]RIKEN, Brain Sci Inst, Lab Adv Brain Signal Proc, Wako, Saitama 3510198, Japan;[4]Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland

年份：2015

卷号：25

期号：3

外文期刊名：INTERNATIONAL JOURNAL OF NEURAL SYSTEMS

收录：;EI(收录号：20151800805844);WOS:【SCI-EXPANDED(收录号:WOS:000352640100006)】；

基金：This work was supported in part by the Grant National Natural Science Foundation of China, under Grant Nos. 61203127, 91420302 and 61305028. This work was also supported by the Fundamental Research Funds for the Central Universities (WG1414005, WH1314023).

语种：英文

外文关键词：Brain computer interface; event-related potentials; mismatch negativity

摘要：The P300-based brain-computer interface (BCI) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. It has been shown that, in addition to the P300, other event-related potential (ERP) components have been shown to contribute to successful operation of the P300 BCI. Incorporating these components into the classification algorithm can improve the classification accuracy and information transfer rate (ITR). In this paper, a single character presentation paradigm was compared to a presentation paradigm that is based on the visual mismatch negativity. The mismatch negativity paradigm showed significantly higher classification accuracy and ITRs than a single character presentation paradigm. In addition, the mismatch paradigm elicited larger N200 and N400 components than the single character paradigm. The components elicited by the presentation method were consistent with what would be expected from a mismatch paradigm and a typical P300 was also observed. The results show that increasing the signal-to-noise ratio by increasing the amplitude of ERP components can significantly improve BCI speed and accuracy. The mismatch presentation paradigm may be considered a viable option to the traditional P300 BCI paradigm.