Open ChangJinwon opened 9 months ago
Dear @ChangJinwon ,
I apologize for the delay in responding. Here are the answers to your questions.
Q1) Can I get additional anonymous clinical information on patients, such as comorbidities (whether patients have hypothyroidism or B12 deficiency) or the gender of patients? A1) I'm sorry, but we cannot provide any other information due to our IRB's privacy policy.
Q2) Also, can I know which patients get more than one EEG measurements (1379 dataset from 1155 patients means at least one patient has double EEG trials). A2) As written in the academic work, we seek to classify the EEG recordings independently of any other information except age. Basically, we don't want to allow multiple EEG recordings from the same person to be compared, calculated for distance/similarity, or ranked to draw conclusions about which ones are dementia and which ones are not, etc. Nevertheless, we will discuss whether providing the patient-EEG-duplicate information would be a helpful thing for academic advancement. If so, we will let you know.
Q3) Also, can I understand that the recording was started with the eye-closed state?
A3) Yes. You can check the change of eye open or eye closed state after startup by referring to the caueeg-dataset/event/*.json
file.
I hope this is helpful. Please let me know if you have further questions.
Best Regards, Min-jae Kim.
Hi, You have not provided the dementia-no-overlap.json and abnormal-no-overlap.json. There is no patient identification number too, I am not allowed to use it with the overlap. Could you please help us with the overlap information alone ?
Sorry for the confusion. I noticed that the no-overlap information was not included via the Naver link, and have re-uploaded the zip file. I am afraid that this answer is too late, but if it is still useful to you, please re-download it using either the Naver or Google link. Kind regards,
Dear administrator,
I hope you are enjoying a happy New Year. Thank you for the opportunity to have access to this precious data full of invaluable EEG data. I appreciate all the time and effort you have dedicated to creating this study. Your study is wonderful and special for research purposes. I'm currently working on using EEG to invent a more accurate screening index for Alzheimer's disease. Can I get additional anonymous clinical information on patients, such as comorbidities (whether patients have hypothyroidism or B12 deficiency) or the gender of patients? Also, can I know which patients get more than one EEG measurements (1379 dataset from 1155 patients means at least one patient has double EEG trials). Also, can I understand that the recording was started with the eye-closed state?
Best Regards, Jinwon Chang