遇见数据集

Covert naming task EEG data - EOG denoised

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DataONE2026-04-24 更新2026-05-19 收录
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Source estimated EEG data from participants (N=40) in the overt naming experiment using the denoising pipeline that includes gradient artifact and ECG removal as well as the regression of signals near the eyes and upper jaw. This does not include the additional ICA denoising step included in the \"EOG+EMG\" data.

本数据集涵盖40名参与者在显性命名实验中获取的源估计脑电图(Electroencephalogram, EEG)数据,所用预处理降噪流程包含梯度伪影去除、心电伪影去除,以及眼周与上颌区域信号的回归校正。该数据集未包含"EOG+EMG"数据中所采用的额外独立成分分析(Independent Component Analysis, ICA)降噪步骤。

创建时间:
2026-04-27
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