A Generalizable BCI using Machine Learning for Feature Discovery
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https://melbourne.figshare.com/articles/dataset/A_Generalizable_BCI_using_Machine_Learning_for_Feature_Discovery/2000880
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资源简介：
The first variable is data_key_'participant letter', which takes the value 1,2 or 3, depending on if they didn't squeeze their hand, squeezed right or squeezed left during that epoch.<br>The second is data_epochs_'participant letter'. This is the EEG data corresponding to the data key. The first dimension is all the channels (62 channels for the first two sets) concatenated into a single row, so there's 100 data points for each channel for each epoch.<br><br>
提供机构：
University of Melbourne
创建时间：
2015-06-15
