[Dataset] Add Ahn2013 EEG+MEG Motor Imagery dataset
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Description
Dataset Information
| Field | Value |
|---|---|
| Name | Ahn2013 |
| Subjects | 10 |
| Channels | 19 EEG + 150 MEG |
| Sampling Rate | 512/500 Hz |
| Paradigm | Motor Imagery |
| Tasks | Left hand, Right hand |
| Publication | Frontiers in Human Neuroscience, 2013 |
| DOI | 10.3389/fnhum.2013.00848 |
| Repository | Deep BCI |
Description
Combined EEG and MEG recordings during motor imagery. May require special handling for MEG data.
Source
Identified from Gwon et al. 2023 review paper (DOI: 10.3389/fnhum.2023.1134869)
Notes
- Contains MEG data - may not fit standard MOABB EEG pipeline
- Consider EEG-only extraction if MEG not supported
Related
This issue is a sub-issue of #1 (Discover new datasets)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are named. Start by reviewing existing dataset integrations and the discovery scope in related issue #1, then verify access to the Deep BCI source and the 2013 publication. Done means Ahn2013 is represented with its subjects, channels, sampling rates, and left/right-hand tasks, with EEG-only handling if MEG is unsupported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100