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《Journal of Data Acquisition & Processing》 2013-05
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SOA Perturbation in Visual P300 Brain Computer Interfaces

Qiu Tianshuang;Ma Zheng;Department of Biomedical Engineering,Dalian University of Technology;  
Asynchronous operating performance is one of the vital factors towards the practical use of brain computer interfaces(BCIs).The key point is to find an indicator from brain activities that can effectively distinguish between control states and non-control states of the BCI system.A stimulus onset asynchrony(SOA)perturbation analysis model is built for the P300 BCI.Spectral lines of the SOA perturbation are observed in both the simulation experiment and real experiments,which can be explained by the current analysis model.It turns out that the strength of the SOA perturbation is largest when SOA is around 220ms,but it decreases dramatically when SOA becomes lower than 150ms.The phase-locking property of the SOA perturbation can be used to improve its signal-to-noise ratio.The SOA perturbation can be used as an asynchronous indicator of the BCI system and it gives a new direction for the implementation of asynchronous BCIs.
【Fund】: 国家自然科学基金(81241059 61172108 61139001)资助项目;; 国家科技支撑计划(2012BAJ18B06)资助项目
【CateGory Index】: TP334.7
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