首页> 外文期刊>電子情報通信学会技術研究報告. ニュ-ロコンピュ-ティング. Neurocomputing >A method for removal of eye movement artifacts from MEG - Simultaneous current source estimation of eyes and cortical activities from MEG and EOG data -
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A method for removal of eye movement artifacts from MEG - Simultaneous current source estimation of eyes and cortical activities from MEG and EOG data -

机译:一种从MEG去除眼睛运动伪影的方法-同时从MEG和EOG数据估计眼睛和皮层活动的电流源-

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摘要

The magnetic fields generated by eye movements are major artifacts in MEG measurement. This report proposes a method for removal of eye movement artifact from MEG data by EOG data. In order to use EOG, one needs a EOG forward model that describes the transformation from eye current sources to EOG. We show that an EOG forward model and current sources can be simultaneously calculated by the hierarchical Bayesian estimation. A simulation experiment confirmed that the estimation of eye current sources can be improved. We further demonstrate that we can remove eye artifacts from real MEG data during smooth-pursuit eye movements.
机译:眼球运动产生的磁场是MEG测量中的主要伪影。该报告提出了一种通过EOG数据从MEG数据中去除眼球运动伪影的方法。为了使用EOG,需要一个EOG正向模型,该模型描述从眼电流源到EOG的转换。我们表明,可以通过分层贝叶斯估计同时计算EOG正向模型和电流源。仿真实验证实可以改善眼电流源的估计。我们进一步证明,在追求平滑的眼球运动过程中,可以从真实的MEG数据中去除眼神器。

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