The courtois-neuromod physiological data as a use-case for phys2bids #20
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Project info
Project Title:
phys2bids use-case: Segmentation and conversion of CNeuroMod Movie10
Project lead:
François Lespinasse @sangfrois
Timezone:
UTC-4
Description:
Phys2bids provides a way to convert physiological recording files to bids format. This brainhack project acts as user testing for the software by applying its workflow to a large-scale dataset. The Courtois Neuromod project is a longitudinal program which collects massive amounts of multimodal data (neuroimaging, peripheral physiologicals signal and eye-tracking) with the same 6 subjects throughout different tasks. We want to apply the phys2bids workflow to the entire physiological signals (electrocardiographic, electrodermal, respiration and pulse) dataset.
Link to project:
phys2bids
Courtois-Neuromod website
Courtois-Neuromod github
Courtois-Neuromod github PR in development
Mattermost handle:
Goals for the OHBM Brainhack:
Good first issues:
Skills:
python coding for review
physiological signal processing
Chat channel:
~hbm-physiopy
Image for the OHBM brainhack website
Twitter size summary:
@franclespinas
@cneuromod uses phys2bids conversion tool to share its physiological data along with its neuroimaging data under BIDS format. A community-driven effort to promote the shareability of peripheral physiological signals.
Number of participants: I don’t know (less than 5)
Acknowledge contributions: Physiopy adopts the all-contributors system to recognise contributions. Contributors will be recognised as such in the relevant library README (e.g. here) and as authors during outreach (conference posters, talks, ...).
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physiopy's contributors guidelines
physiopy's code of conduct
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