mne-tools / mne-tools/mne-python
Request for Sensor Labeling Check in Child-Customized MEG System
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- Dominant language
- Python
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Description
Description of the problem
I appreciate the MNE-Python team for developing the "mne.io.read_raw_kit" function tailored for the child-customized MEG system in Kanazawa, Japan.
One issue we have noticed is that the sensor labelling identifies them as Magnetometers, whereas the child-customized MEG system actually employs Gradiometers.
I am curious whether this sensor type might impact further analysis.
Could we consider updating the sensor labelling from Magnetometers to Gradiometers?
Steps to reproduce
Sensor labelling from Magnetometers and Gradiometers for the Child-customised MEG.
Link to data
No response
Expected results
sensor label as gradiometer.
Actual results
sensor label as magnetometer.
Additional information
mne.io.read_raw_kit
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 mne.io.read_raw_kit entry point and checking how sensor labels are assigned for the child-customized MEG system. Confirm the reported hardware type and determine how the labeling can be verified; done means the system's sensors are reported as gradiometers and relevant tests pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100