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A submatrix-based P300 brain-computer interface stimulus presentation paradigm

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Journal of Zhejiang University SCIENCE C Aims and scope

Abstract

The P300 event-related potential (ERP), with advantages of high stability and no need for initial training, is one of the most commonly used responses in brain-computer interface (BCI) applications. The row/column paradigm (RCP) that flashes an entire column or row of a visual matrix has been used successfully to help patients to spell words. However, RCP remains subject to errors that slow down communication, such as adjacency-distraction and double-flash errors. In this paper, a new visual stimulus presentation paradigm called the submatrix-based paradigm (SBP) is proposed. SBP divides a 6×6 matrix into several submatrices. Each submatrix flashes in single cell paradigm (SCP) mode and separately performs an ensemble averaging method according to the sequences. The parameter of sequence number is used to improve further the accuracy and information transfer rate (ITR). SBP has advantages of flexibility in division of the matrix and better expansion capability, which were confirmed with different divisions of the 6×6 matrix and expansion to a 6×9 matrix. Stimulation results show that SBP is superior to RCP in performance and user acceptability.

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References

  • Chen, W.D., Zhang, J.H., Zhang, J.C., Li, Y., Qi, Y., Su, Y., Wu, B.A., Zhang, S.M., Dai, J.H., Zheng, X.X., et al., 2010. A P300 based online brain-computer interface system for virtual hand control. J. Zhejiang Univ.-Sci. C (Comput. & Electron.), 11(8):587–597. [doi:10.1631/jzus.C0910530]

    Article  Google Scholar 

  • Duncan-Johnson, C.C., Donchin, E., 1977. On quantifying surprise: the variation of event-related potentials with subjective probability. Psychophysiology, 14(5):456–467. [doi:10.1111/j.1469-8986.1977.tb01312.x]

    Article  Google Scholar 

  • Farwell, L.A., Donchin, E., 1988. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephal. Clin. Neurophys., 70(6):510–523. [doi:10.1016/0013-4694(88)90149-6]

    Article  Google Scholar 

  • Fazel-Rezai, R., Abhari, K., 2009. A region-based P300 speller for brain-computer interface. Can. J. Electr. Comput. Eng., 34(3):81–85. [doi:10.1109/CJECE.2009.5443854]

    Article  Google Scholar 

  • Guan, C., Thulasidas, M., Wu, J., 2004. High Performance P300 Speller for Brain-Computer Interface. IEEE Int. Workshop on Biomedical Circuits and Systems, p.S3/5/INV–S3/13-16. [doi:10.1109/BIOCAS.2004.1454155]

  • Guger, C., Daban, S., Sellers, E., Holzner, C., Krausz, G., Carabalona, R., Gramatica, F., Edlinger, G., 2009. How many people are able to control a P300-based brain-computer interface (BCI)? Neurosci. Lett., 462(1):94–98. [doi:10.1016/j.neulet.2009.06.045]

    Article  Google Scholar 

  • Hoffmann, U., Vesin, J.M., Ebrahimi, T., Diserens, K., 2008. An efficient P300-based brain-computer interface for disabled subjects. J. Neurosci. Methods, 167(1):115–125. [doi:10.1016/j.jneumeth.2007.03.005]

    Article  Google Scholar 

  • Jin, J., Allison, B.Z., Sellers, E.W., Brunner, C., Horki, P., Wang, X.Y., Neuper, C., 2011. An adaptive P300-based control system. J. Neur. Eng., 8(3):036006. [doi:10.1088/1741-2560/8/3/036006]

    Article  Google Scholar 

  • Kaper, M., Meinicke, P., Grossekathoefer, U., Lingner, T., Ritter, H., 2004. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm. IEEE Trans. Biomed. Eng., 51(6):1073–1076. [doi:10. 1109/TBME.2004.826698]

    Article  Google Scholar 

  • Krusienski, D.J., Sellers, E.W., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R., 2008. Toward enhanced P300 speller performance. J. Neurosci. Methods, 167(1):15–21. [doi: 10.1016/j.jneumeth.2007.07.017]

    Article  MATH  Google Scholar 

  • Li, Y., Zhang, J.H., Su, Y., Chen, W.D., Qi, Y., Zhang, J.C., Zheng, X.X., 2009. P300 Based BCI Messenger. IEEE/ICME Int. Conf. on Complex Medical Engineering, p.1–5. [doi:10.1109/ICCME.2009.4906636]

  • Mak, J.N., Wolpaw, J.R., 2009. Clinical applications of brain-computer interfaces: current state and future prospects. IEEE Rev. Biomed. Eng., 2:187–199. [doi:10.1109/RBME. 2009.2035356]

    Google Scholar 

  • Mak, J.N., Arbel, Y., Minett, J.W., McCane, L.M., Yuksel, B., Ryan, D., Thompson, D., Bianchi, L., Erdogmus, D., 2011. Optimizing the P300-based brain-computer interface: current status, limitations and future directions. J. Neur. Eng., 8(2):025003. [doi:10.1088/1741-2560/8/2/025003]

    Article  Google Scholar 

  • McFarland, D.J., Sarnacki, W.A., Wolpaw, J.R., 2003. Brain-computer interface (BCI) operation: optimizing information transfer rates. Biol. Psychol., 63(3):237–251. [doi:10.1016/S0301-0511(03)00073-5]

    Article  Google Scholar 

  • Picton, T.W., 1992. The P300 wave of the human event-related potential. J. Clin. Neurophysiol., 9(4):456–479. [doi:10. 1097/00004691-199210000-00002]

    Article  Google Scholar 

  • Pires, G., Castelo-Branco, M., Nunes, U., 2008. Visual P300-Based BCI to Steer a Wheelchair: a Bayesian Approach. 30th Annual Int. IEEE EMBS Conf., p.658–661. [doi:10.1109/IEMBS.2008.4649238]

  • Rakotomarnonjy, A., Guigue, V., 2008. BCI competition III: dataset II—ensemble of SVMs for BCIP300 speller. IEEE Trans. Biomed. Eng., 55(3):1147–1154. [doi:10.1109/TBME.2008.915728]

    Article  Google Scholar 

  • Schalk, G., McFarland, D.J., Hinterberger, T., Birbaumer, N., Wolpaw, J.R., 2004. BCI2000: a general-purpose, brain-computer interface (BCI) system. IEEE Trans. Biomed. Eng., 51(6):1034–1043. [doi:10.1109/TBME.2004.827072]

    Article  Google Scholar 

  • Schlogl, A., Keinrath, C., Zimmermann, D., Scherer, R., Leeb, R., Pfurtscheller, G., 2007. A fully automated correction method of EOG artifacts in EEG recordings. Clin. Neurophys., 118(1):98–104. [doi:10.1016/j.clinph.2006.09. 003]

    Article  Google Scholar 

  • Sellers, E.W., Donchin, E., 2006. A P300-based brain-computer interface: initial tests by ALS patients. Clin. Neurophys., 117(3):538–548. [doi:10.1016/j.clinph.2005.06.027]

    Article  Google Scholar 

  • Sellers, E.W., Krusienski, D.J., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R., 2006. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance. Biol. Psychol., 73(3):242–252. [doi:10.1016/j.biopsycho.2006.04.007]

    Article  Google Scholar 

  • Sellers, E.W., Frye, G.E., Hauser, C.K., Townsend, G., 2011. Suppressing flashes of items surrounding targets during calibration of a P300-based brain-computer interface improves performance. J. Neur. Eng., 8 (2):025024. [doi:10.1088/1741-2560/8/2/025024]

    Google Scholar 

  • Townsend, G., LaPallo, B.K., Boulay, C.B., Krusienski, D.J., Frye, G.E., Hauser, C.K., Schwartz, N.E., Vaughan, T.M., Wolpaw, J.R., Sellers, E.W., 2010. A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns. Clin. Neurophys., 121(7):1109–1120. [doi:10.1016/j.clinph.2010.01.030]

    Article  Google Scholar 

  • Vaughan, T.M., McFarland, D.J., Schalk, G., Sarnacki, W.A., Krusienski, D.J., Sellers, E.W., Wolpaw, J.R., 2006. The wadsworth BCI research and development program:at home with BCI. IEEE Trans. Neur. Syst. Rehabil. Eng., 14(2):229–233. [doi:10.1109/Tnsre.2006.875577]

    Article  Google Scholar 

  • Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M., 2002. Brain-computer interfaces for communication and control. Clin. Neurophys., 113(6):767–791. [doi:10.1016/S1388-2457(02)00057-3]

    Article  Google Scholar 

Recommended reading

  • Townsend, G., LaPallo, B.K., Boulay, C.B., Krusienski, D.J., Frye, G.E., Hauser, C.K., Schwartz, N.E., Vaughan, T.M., Wolpaw, J.R., Sellers, E.W., 2010. A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns. Clin. Neurophys., 121(7):1109–1120. [doi:10.1016/j.clinph.2010.01.030]

    Article  Google Scholar 

  • Fazel-Rezai, R., Abhari, K., 2009. A region-based P300 speller for brain-computer interface. Can. J. Electr. Comput. Eng., 34(3):81–85. [doi:10.1109/CJECE.2009.5443854]

    Article  Google Scholar 

  • Jin, J., Allison, B.Z., Sellers, E.W., Brunner, C., Horki, P., Wang, X.Y., Neuper, C., 2011. An adaptive P300-based control system. J. Neur. Eng., 8(3):036006. [doi:10. 1088/1741-2560/8/3/036006]

    Article  Google Scholar 

  • Fazel-Rezai, R., Abhari, K., 2008. A Comparison Between a Matrix-Based and a Region-Based P300 Speller Paradigms for Brain-Computer Interface. 30th Int. Conf. of the IEEE Engineering in Medicine and Biology Society, p.1147–1150. [doi:10.1109/IEMBS.2008.4649364]

  • Lenhardt, A., Kaper, M., Ritter, H.J., 2008. An adaptive P300-based online brain-computer interface. IEEE Trans. Neur. Syst. Rehabil. Eng., 16(2):121–130. [doi:10.1109/TNSRE.2007.912816]

    Article  Google Scholar 

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Correspondence to Ji-zhong Shen.

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Project (No. 61071062) supported by the National Natural Science Foundation of China

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Shi, Jh., Shen, Jz., Ji, Y. et al. A submatrix-based P300 brain-computer interface stimulus presentation paradigm. J. Zhejiang Univ. - Sci. C 13, 452–459 (2012). https://doi.org/10.1631/jzus.C1100328

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  • DOI: https://doi.org/10.1631/jzus.C1100328

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