Title: Physiopy/phys2bids: use-case documentation for the segmentation and conversion of massive amount of physiological data.
François Lespinasse (Twitter handle : franclespinas | Brainhack mattermost handle : @sangfrois)
Katie Bottenhorn @62442katieb
Stefano Moia @smoia
Registered Brainhack Global 2020 Event:
Brainhack Global Donostia (from Montreal, Québec)
Project Description: My goal is to build protocol-like documentation for phys2bids, a tool for automatic segmentation and conversion of physiological files to BIDS format. The intention is share a blueprint for what the physiopy community expects to be a common use-case of phys2bids.
Info on phys2bids: This tool reduces human error during the concurent collection of physiological (ECG/PPG/EDA/RSP/etc.) and neuroimaging data (fMRI, MEG, etc.). The reason being that recordings often contain unwanted segments as experimenters continue to acquire physiological activity in-between scanning sessions.
The way it works: phys2bids can take the physiological recording files (such as those provided from BIOPAC-Acqknowledge) and automatically cut the appropriate segments by using the trigger pulse sent by the scanner (see multi-run phys2bids workflow for more info.
Why it’s interesting This tool allows the user to generate BIDS compatible physiological files organized by runs (just like neuroimaging data). It represents a more convenient way to match neuroimaging acquisition with physiological ones.
What we need, now : What we need now is to provide users with a convenient way to process massive amount of physio data in a time-efficient way.
Link to project repository/sources: https://github.com/physiopy/phys2bids
Goals for Brainhack Global 2020:
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