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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings
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Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

机译：多通道EEG记录中自动伪影分量拆除的工件子空间重建评估

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摘要

Objective: Artifact subspace reconstruction (ASR) is an automatic, online-capable, component-based method that can effectively remove transient or large-amplitude artifacts contaminating electroencephalographic (EEG) data. However, the effectiveness of ASR and the optimal choice of its parameter have not been systematically evaluated and reported, especially on actual EEG data. Methods: This paper systematically evaluates ASR on 20 EEG recordings taken during simulated driving experiments. Independent component analysis (ICA) and an independent component classifier are applied to separate artifacts from brain signals to quantitatively assess the effectiveness of the ASR. Results: ASR removes more eye and muscle components than brain components. Even though some eye and muscle components retain after ASR cleaning, the power of their temporal activities is reduced. Study results also showed that ASR cleaning improved the quality of a subsequent ICA decomposition. Conclusions: Empirical results show that the optimal ASR parameter is between 20 and 30, balancing between removing non-brain signals and retaining brain activities. Significance: With an appropriate choice of parameter, ASR can be a powerful and automatic artifact removal approach for offline data analysis or online real-time EEG applications such as clinical monitoring and brain-computer interfaces.
机译：目的：神器子空间重建（ASR）是一种自动，在线，基于组件的方法，可以有效地消除污染脑电图（EEG）数据的瞬态或大幅度伪像。然而，尚未系统地评估和报告ASR的有效性和其参数的最佳选择，特别是在实际的EEG数据上。方法：本文系统地评估了在模拟驾驶实验期间采取的20架EEG录像的ASR。独立分量分析（ICA）和独立的组件分类器被应用于从大脑信号分开伪像以定量评估ASR的有效性。结果：ASR除脑部件比脑组件更加眼睛和肌肉组件。尽管某些眼睛和肌肉组件保留ASR清洁后，但它们的时间活动的功率降低。研究结果还表明，ASR清洗改善了随后的ICA分解的质量。结论：经验结果表明，最佳ASR参数在20到30之间，在去除非脑信号和保持大脑活动之间平衡。意义：具有适当的参数选择，ASR可以是用于离线数据分析或在线实时EEG应用的强大和自动的伪影方法，例如临床监测和脑 - 计算机接口。

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