基于SSVEP阻断与P300特征的混合范式脑-机接口

doi:10.3969/j.issn.0372-2112.2013.11.021

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电子学报 ›› 2013, Vol. 41 ›› Issue (11) : 2247-2251. DOI: 10.3969/j.issn.0372-2112.2013.11.021

学术论文

基于SSVEP阻断与P300特征的混合范式脑-机接口

许敏鹏, 张力新, 明东, 綦宏志, 陈龙, 马岚, 万柏坤

作者信息 +

A Hybrid BCI Based on the Combination of SSVEP Blocking and P300 Features

XU Min-peng, ZHANG Li-xin, MING Dong, QI Hong-zhi, CHEN Long, MA Lan, WANG Bai-kun

Author information +

文章历史 +

摘要

针对传统脑电型非侵入式脑-机接口判断正确率低、信息传输率低等问题，设计了一种基于SSVEP阻断和P300双特征的混合范式P300-SSVEP-Speller脑-机接口系统.对12位受试者进行了脑电诱发及目标识别实验，结果表明：本范式能够同时诱发出SSVEP阻断特征信号和P300特征信号，采用联合特征的新型的P300-SSVEP-Speller系统比传统的P300-Speller系统具有更高的判断正确率和信息传输率.

Abstract

To solve the problems that the conventional brain-computer interfaces (BCIs) transfer the mental intents into the control commands with a low judgment accuracy and unsatisfied information transfer rate (ITR),a novel hybrid BCI called the P300-SSVEP-Speller was developed on the basis of the P300-Speller to combine SSVEP blocking (SSVEPB) features with P300 potentials.The offline usage of twelve subjects was investigated in the study.Results show that the elicited SSVEPB has little influence on the emergence of the P300 potentials in the degree of temporal signals.In addition,from the view of character recognition,the novel P300-SSVEP-Speller system has a better performance than the conventional P300-Speller on the judgment accuracy and ITR.

导出引用

许敏鹏, 张力新, 明东, 綦宏志, 陈龙, 马岚, 万柏坤. 基于SSVEP阻断与P300特征的混合范式脑-机接口[J]. 电子学报, 2013, 41(11): 2247-2251. https://doi.org/10.3969/j.issn.0372-2112.2013.11.021

XU Min-peng, ZHANG Li-xin, MING Dong, QI Hong-zhi, CHEN Long, MA Lan, WANG Bai-kun. A Hybrid BCI Based on the Combination of SSVEP Blocking and P300 Features[J]. Acta Electronica Sinica, 2013, 41(11): 2247-2251. https://doi.org/10.3969/j.issn.0372-2112.2013.11.021

中图分类号： TP334.7

参考文献

[1] McFarland D J,Wolpaw J R.Brain-computer interfaces for communication and control[J].Commun ACM,2011,54(5):60-66.
[2] Vaughan TM,Heetderks WJ,Trejo LJ et al.Brain-computer interface technology:a review of the second international meeting[J].IEEE Trans Neural Syst Rehabil Eng,2003,11(2):94-109.
[3] Allison B Z,Wolpaw E W,Wolpaw J R.Brain-computer inter-face systems:progress and prospects[J].Expert Rev Med Devices,2007,4(4):463-474.
[4] Vaughan T M,McFarland D J,Schalk G,et al.The wadsworth BCI research and development program:at home with BCI[J].IEEE Trans Neural Syst Rehabil Eng,2006,14(2):229-233.
[5] Nijboer F,Sellers E W,Mellinger J,et al.A P300-based brain-computer interface for people with amyotrophic lateral sclerosis[J].Clin.Neurophysiol.2008,119(8):1909-1916.
[6] Sellers E W,Vaughan T M,Wolpaw J R.A brain-computer interface for long-term independent home use[J].Amyotroph Lateral Scler,2010,11(5):449-455.
[7] Vialatte F-B,Maurice M,Dauwels J et al.Steady-state visually evoked potentials:focus on essential paradigms and future perspectives[J].Prog Neurobiol,2010,90(4):418-438.
[8] Regan D.Human Brain Electrophysiology:Evoked Potentials and Evoked Magnetic Fields in Science and Medicine[M].New York:Elsevier,1989.
[9] Volosyak I.SSVEP-based Bremen-BCI interface-boosting information transfer rates[J].J Neural Eng,2011,8(3):036020.
[10] 吴边,苏煜,张剑慧,等.基于P300电位的新型BCI中文输入虚拟键盘系统[J].电子学报,2009,37(8):1733-1738. Wu Bian,Su yu,Zhang Jianhui,et al.A virtual chinese keyboard BCI system based on P300 potentials[J].Acta Electronica Sinica,2009,37(8):1733-1738.(in Chinese)
[11] 徐宝国,宋爱国,费树岷.在线脑机接口中脑电信号的特征提取与分类方法[J].电子学报,2011,38(5):1025-1030. Xu Baoguo,Song Aiguo,Fei Shumin.Feature extraction and classification of EEG in online brain-computer interface[J].Acta Electronica Sinica,2011,38(5):1025-1030.(in Chinese)
[12] Müller-Putz G R,Breitwieser C,Cincotti F,et al.Tools for Brain-Computer Interaction:A General Concept for a Hybrid BCI[J/OL].http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223392/,2011-11-24.
[13] Pfurtscheller G,Allison B Z,Brunner C et al.The hybrid BCI[J/OL].http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891647/,2010-4-21.
[14] Horki P,Solis-Escalante T,Neuper C et al.Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb[J].Med Biol Eng Comput,2011,49(5):567-577.
[15] Long J,Li Y,Yu T et al.Target selection with hybrid feature for BCI-Based 2-D cursor control[J].IEEE Trans Biomed Eng,2012,59(1):132-140.
[16] Panicker R C,Puthusserypady S,Sun Y.An asynchronous P300 BCI with SSVEP-based control state detection[J].IEEE Trans Biomed Eng,2011,58(6):1781-1788.
[17] Edlinger G,Holzner C,Guger C.A hybrid brain-computer interface for smart home control[J].Human-Computer Interaction Interaction Techniques and Environments,2011,6762,417-426.
[18] Yu T,Li Y,Long J,et al.Surfing the internet with a BCI mouse[J].J Neural Eng,2012,9(3):036012.
[19] Li Y,Pan J,Wang F,et al.A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control[J].IEEE Trans Biomed Eng,2012,20(5):720-729.
[20] Yin E,Zhou Z,Jiang J,et al.A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm[J].J Neural Eng,2013,10(2):026012.