-
Notifications
You must be signed in to change notification settings - Fork 14
New issue
Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? # to your account
MMM data loading and preprocessing #23
Comments
Hi, Thank you for your interest in our paper and for bringing up these issues!
Thank you for your understanding. If you have any more questions or need further assistance, please feel free to ask. |
Thanks for your reply, regarding the SEED_DE.py the combination of line 11 and 24 is causing issues because 'filenames' also contains the full path to the data and are then joined with the 'data_path' again producing the following error: Traceback (most recent call last): |
Apologize for the bugs, we found we've incorrectly modified it when cleaning up the comments unnecessary code lines. We have now fixed it in pull request #24 . Thanks for your contribution! |
@victorywys Hello! It looks like this repo contains the code for working with the SEED dataset. However, I would like to fine-tune MMM with the SEED IV dataset. Would it be possible to share the scripts for SEED IV? Thank you. |
@samin9796 Added in the pull request #28 . Please kindly refer to |
Hi, thanks for the interesting paper! I am currently trying to reproduce the results from the paper and have some questions regarding the preprocessing. Following the documentation, I have obtained the SEED dataset, which has the following structure:
SEED_EEG
-- ExtractedFeatures_1s
-- ExtractedFeatures_4s
-- Preprocessed_EEG
-- SEED_RAW_EEG
Are you using the extracted features for the 1s or 4s versions? Furthermore, there are several issues with the script SEED_DE.py. In the current version, the filename includes the datapath, which causes an error when trying to open the file in line 24. Additionally, the sorting for the filenames in line 12 returns the wrong ordering of the patients. Here, the patient ID will be returned as the following: ['10_xxx.mat', '11_xxx.mat', ..., '15_xxx.mat', '1_xxx.mat', '2_xxx.mat', ..., '9_xxx.mat'], which will lead to a misalignment with the labels.mat.
I would also be interested in the preprocessing for the SEED datasets as well as the TUEG, since those follow a different schema. Could you be so kind as to also include those in the repo?
As a last point, you describe how you perform the DE feature extraction in Eq. 1-5 in the appendix of your paper; however, I was unable to locate these steps in your code. Could you help me out in this regard and point me in the right direction?
Thanks a lot in advance!
The text was updated successfully, but these errors were encountered: