Non-invasive Handwriting Imagery EEG

The dataset consists of EEG recorded non-invasively from five participants while they are performing a handwriting imagery task, in which each participant was instructed to imagine the process of handwriting the 26 English letters. Major preprocessing steps have been conducted, including large-amplitude artifact removal using Independent Component Analysis and bandpass filtering between 0.1-45 Hz.

该数据集由五位参与者在进行书写想象任务时非侵入性记录的脑电图（EEG）数据组成。在任务中，每位参与者均被要求想象书写26个英文字母的过程。数据已进行了主要的前处理步骤，包括使用独立成分分析（ICA）去除大振幅伪迹，以及0.1-45赫兹范围内的带通滤波。