Research Article
Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
Figure 1
Sliding windows for data augmentation. T denotes the time step of the whole trial, Tā denotes the time length of the sliding window, is the prediction value obtained for each example of the sliding window, and the final loss is the difference between the mean of all predictions and the target y.