eeyhsong/EEG-Transformer
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
PythonGPL-3.0
Issues
- 13
About dataset
#4 opened by sadaf92 - 1
- 7
- 4
Pretrained weights
#1 opened by rohit-vijayakumar - 2
- 5
Dataset labelling issue
#8 opened by MerlinK75 - 7
Could you please share the random seed for training and label for BCI data E file?
#6 opened by zewailaa - 2
关于数据划分的一个疑问
#7 opened by h1deOnBush - 4
How do I understand slicing
#5 opened by ll643989 - 7
How to apply it to a 2-class task?
#2 opened by supnov - 1
代码运行后accuracy不能达到论文所诉82%
#3 opened by 384068026