mne-tools / mne-tools/mne-python
DOC: add guidance for reading OpenBCI EEG 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
OpenBCI cyton board is one of the popular tool used for collecting EEG data from brain. The EEG data collected from the cyton board are stored in txt format with the help of OpenBCI GUI. Currently, MNE doesn't have any dedicated reader for function for OpenBCI data. It would be helpful if there's a separate class containing methods for reading, visualizing the EEG data from OpenBCI cyton board.
Additional comments
You can find Sample dataset for Cyton Board - 8 channels(without diasy module) here
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 examining the OpenBCI Cyton sample dataset linked in the issue and the repository's existing reader entry points. Determine the expected handling of the eight-channel TXT signals and visualization behavior before proposing scope; done should be a documented, tested reader design that matches the project's conventions.
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
- 25/100