mne-tools / mne-tools/mne-python
Re-reference methods about sEEG data
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 1.6k
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 100
Description
Describe the new feature or enhancement
In sEEG data analysis, reference is not alike in EEG. Many methods are used to reference sEEG data, linear and non-linear, such as
Common Average Reference(CAR), Gray-white Matter Reference(GWR), Electrode Shaft Reference(ESR), Bipolar Reference, Laplacian Reference and Monopolar Reference.
Describe your proposed implementation
I read the paper to know the reference in sEEG analysis. Here is the link:https://www.sciencedirect.com/science/article/abs/pii/S1053811918307183
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 reading the linked paper and comparing its sEEG referencing methods with the repository's existing sEEG support. The issue does not identify files, entry points, tests, or a specific method to implement, so the scope and completion criteria need clarification before work can begin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100