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A new 360° rotating type stimuli for improved SSVEP based brain computer interface

机译:一种新的360°旋转型刺激,用于改进基于SSVEP的脑计算机接口

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The authors investigated for first time clockwise and counter clockwise 360 degrees rotating stimuli at two different speeds of rotation/phase for brain computer interface (BCI). The 360 degrees rotating stimuli of frequencies 3 Hz, 7.5 Hz and 10 Hz are considered and compared to the performance with non -rotating flickering stimuli using signal-to-noise ratio at four channels O-z, P-z, O-1 and O-2. In addition, the authors have also attempted to study the effect of stimuli in varying combinations of four channels in discriminating stimuli frequencies. This paper investigated the discrimination of stimuli frequencies using power spectral density analysis (PSDA) and canonical correlation analysis (CCA) with information transfer rate (ITR). The results revealed the maximum average classification accuracy of 87.6 % is achieved from the single channel O-z, for clockwise rotating slow (CS) stimuli using CCA. The maximum average accuracy of 90.6 % is achieved from the channel combinations O-z, P-z, and O-1 for CS rotating stimulus from CCA. It is noticed that, counter clockwise fast rotating stimulus is poor performing in single channel performance analysis. However, counter clockwise fast rotating stimulus has shown maximum average accuracy of 90 % considering all four channels with CCA. The maximum average ITR of 58.5 bit/min is achieved using signals of CS stimuli from the O-z channel and 65.1 bit/min is achieved with multichannel combination of O-z, P-z, O-1 for clockwise slow rotating stimuli. The results indicate an enhancement in performance of SSVEP based BCI with clockwise rotating stimuli and may be considered for communication and or control applications. (C) 2019 Elsevier Ltd. All rights reserved.
机译:作者首次研究了脑计算机接口(BCI)的两种不同旋转/相位速度下的顺时针和逆时针360度旋转刺激。考虑了频率为3 Hz,7.5 Hz和10 Hz的360度旋转刺激,并将其与使用四个通道O-z,P-z,O-1和O-2的信噪比的非旋转闪烁刺激的性能进行了比较。另外,作者还试图研究在区分刺激频率的四个通道的不同组合中刺激的效果。本文研究了使用功率谱密度分析(PSDA)和具有信息传递速率(ITR)的典型相关分析(CCA)来识别刺激频率的方法。结果表明,对于使用CCA的顺时针旋转慢速(CS)刺激,单通道O-z可获得87.6%的最大平均分类精度。对于来自CCA的CS旋转刺激,从通道组合O-z,P-z和O-1可获得90.6%的最大平均准确度。注意到,逆时针快速旋转刺激在单通道性能分析中表现不佳。但是,考虑到所有四个带有CCA的通道,逆时针快速旋转刺激显示出90%的最大平均准确度。使用O-z通道的CS刺激信号可达到58.5 bit / min的最大平均ITR,使用O-z,P-z,O-1的顺时针缓慢旋转刺激的多通道组合可达到65.1 bit / min。结果表明,基于SSVEP的BCI具有顺时针旋转刺激的性能增强,可以考虑用于通信和/或控制应用。 (C)2019 Elsevier Ltd.保留所有权利。

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