Make the paradigms more broadly
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- Python
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Description
At the moment, we have motor imagery, P300, ssvep, cvep and rest stage.
We need to make this more flexible; motor imagery should be under the umbrella imagery, and P300 should be ERP.
Perhaps ssvep should also be more general, but I need to think about it more.
This is necessary to accommodate new data categories, such as m3cv, speech imagery, more competition dataset, and perhaps something more general.
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
Start by locating the current paradigm definitions and the code that assigns datasets to motor imagery, P300, SSVEP, CVEP, and rest-stage categories. Clarify the intended umbrella taxonomy, especially whether SSVEP should be generalized, before changing classifications. Done means the structure supports categories such as m3cv and speech imagery without losing existing dataset coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100