In left/right hand MI and Motor Movement /Imagery Dataset, there is no label available for predicting drowsiness. Where this dataset is able to identify drowsiness or not. kindly reply....
Gigascience . 2017 Jul 1;6(7):1-8. doi: 10.1093/gigascience/gix034. EEG datasets for motor imagery brain-computer interface
Hohyun Cho 1, Minkyu Ahn 2, Sangtae Ahn 3, Moonyoung Kwon 1, Sung Chan Jun 1
Affiliations collapse
Affiliations
1 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea.
2 School of Computer Science and Electrical Engineering, Handong Global University, 558 Handong-ro Buk-gu, Pohang Gyeongbuk 37554, Korea.
3 Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, 115 Mason Farm Road, Chapel Hill, NC 27514, USA.
PMID: 28472337 PMCID: PMC5493744 DOI: 10.1093/gigascience/gix034
Free PMC article
A common EEG technique for 'detecting' drowsy states, is to somehow threshold on the amount of slow wave bands present in the EEG: delta, theta, alpha. These increase in such states.
Yes, I have set threshold for alpha theta ratio for manual labelling as drowsy or awake. But it is not correct to label the eeg values. Then why we want to go for model to train?Anyhow dataset should contain label for training?
If a subject in a dataset is not performing as expected and requested, then why would the dataset providers even include that subject? Seems you should be able to track down the authors, given the information provided above and below.
"... We validated our EEG datasets by using the percentage of bad trials, event-related desynchronization/synchronization (ERD/ERS) analysis, and classification analysis. After conventional rejection of bad trials..."
It sounds like from the description in the paper, that sleepy / extreme poor performers were already eliminated.
The only definitive answer, will be if you contact the author. And his page link was previously given. OpenBCI is not the expert on this dataset.
Ahn, Minkyu
Assistant Professor at Handong Global University
Ph.D, Gwangju Institute of Science and Technology
Research Interests : HCI, BCI, Machine learning, Digital Healthcare, Neurofeedback, Neuroergonomics
Office : OH 314 E-mail : [email protected] Tel : 054-260-1167
Comments
Hi Priyanka,
Are you referring to the first database listed in this set?
https://github.com/meagmohit/EEG-Datasets
http://gigadb.org/dataset/100295
Have you considered contacting the authors listed? On that page:
"Cho H; Ahn M; Ahn S; Kwon M; Jun SC (2017)"
OpenBCI did not create these datasets / databases, and does not have detailed knowledge of their creation. Check with the authors involved.
William
Paper that accompanies that dataset, with author institutions.
https://pubmed.ncbi.nlm.nih.gov/28472337/
Hi William,
Yes I am considering first two datasets. I don't know how to contact them . And also kindly help my query
The contact info is on the paper shown above.
A common EEG technique for 'detecting' drowsy states, is to somehow threshold on the amount of slow wave bands present in the EEG: delta, theta, alpha. These increase in such states.
Yes, I have set threshold for alpha theta ratio for manual labelling as drowsy or awake. But it is not correct to label the eeg values. Then why we want to go for model to train?Anyhow dataset should contain label for training?
If a subject in a dataset is not performing as expected and requested, then why would the dataset providers even include that subject? Seems you should be able to track down the authors, given the information provided above and below.
https://scholar.google.co.kr/citations?user=wthTKlgAAAAJ&hl=en
In left/right hand MI and Motor Movement /Imagery Dataset, whether these two dataset is applicable for drowsiness
Haven't we answered your question ALREADY?
It sounds like from the description in the paper, that sleepy / extreme poor performers were already eliminated.
The only definitive answer, will be if you contact the author. And his page link was previously given. OpenBCI is not the expert on this dataset.
Regards, William
Motor Movement /Imagery Dataset is applicable for drowsiness
PLEASE email [email protected] with any further questions. You seem to be repeating yourself at this point.
If you are having language difficulties with English, you may find the Google Translate ability, to help with your conversations with Dr. Minkyu Ahn.
https://translate.google.com/
We cannot help you further here.