提出局部剔除方法，降低脑电图中眼动伪影对长时任务分析的影响。
Preprocessing for lessening the influence of eye artifacts in eeg analysis
- 通过局部剔除独立成分，减少眼动伪影干扰。
- 能有效提取受眼动影响较小的脑电信号成分。
- 适合音乐认知等长时任务中的脑活动研究。
针对长时间实验中脑电图信号的眼动伪影问题，本文研究了其对数据分析的影响，并提出了基于独立成分的局部剔除方案，以提取受眼动影响较小的脑电信号成分。研究强调了使用无伪影片段进行成分提取的重要性，为在音乐情境下分析脑活动提供了更可靠的信号基础。
原文摘要 · Abstract (English)
We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in the analysis of the data and alternatives to diminish their impact on later studies of brain activity on lengthy tasks. We proposed a scheme of partial rejection on independent signal components, providesd a method to extract eeg signal components with diministhed influence of eye artifacts, and assess the importance of using artifact free signal excerpts to extract signal components in order to analyze brain activity in a musical context.
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