Yonghao Song
Yonghao Song
@Yaqian-Xu @rmib200 Sorry for the late reply! - You can use this code for transfering gdf. to mat. https://github.com/eeyhsong/EEG-Transformer/blob/main/getData.m - And I found a mat dataset can be downloaded here...
hello @caikw0602, @valentindjangone Sorry for the late reply. It is just the 1D array.
Hello @toncho11, You can download the results files here https://www.bbci.de/competition/iv/results/ . 🤝🤝
Hello! @chloeyswang Thanks for your interests. You can see function interaug in comformer.py for augmentation. Please see https://github.com/eeyhsong/EEG-Transformer/blob/main/getData.m for bandpass. Best.
Thanks a lot for your help !!! Best wishes for your work. 🤝
- The band-pass filter is different from the one we use, https://github.com/eeyhsong/EEG-Transformer/blob/main/getData.m. - The one above almost preserves the full band, but ours preserve ~4-30 Hz. - It will be...
Do you use the example data I supported in the google driver?
Where did you get the data? Did you perform some preprocessing such as band-pass filter and z-score? refer to [code](https://github.com/eeyhsong/EEG-Transformer/blob/main/getData.m). Best, Song
hello @ll643989, Sorry for the late reply. 1. I haven't performed detailed experiments for the parameters of the optimizer. To stabilize the training processing, you can try different batch sizes,...
Hello, you need to first process the data into a data structure with labels or use an individual label file.