PhysioQC: A physiological data Quality Control toolbox with physiopy
Short description and the goals for the OHBM BrainHack
Physiopy is a community formed around developing solutions to operate physiological files in neuroimaging setups. The objective of this project is to get a good workflow and command line interface that generates quality analysis metrics and outputs these elements as .csv, .json files, and creates an html visual report. We additionally hope to build useful, interactive widgets and interfaces to help physio users to check and analyze their data with ease.
Sarah Goodale, Github: goodalse2019, Discord: sarahgoodale
Roza Bayrak, Github: rgbayrak, Discord: rgbayrak (virtual, asynchronous in CST)
Main Hub
Seoul
Link to the Project pitch
No response
Other hubs covered by the leaders
[x] Seoul
[ ] Hybrid (Asia / Pacific)
[ ] Hybrid (Europe / Middle East / Africa)
[x] Hybrid (Americas)
Skills
We welcome all contributors and contributions, from any skillset and level.
No prior git knowledge necessary, if willing to learn on the spot!
Knowledge of python helpful
CLI: basic
Visualization: intermediate
Interactive visualization: super helpful but not required!
Recommended tutorials for new contributors
Set up a brainhack friendly computing enviornment
Python: Writing a script
Python: Visualisation
VCS: Using Git and Github
Good first issues
Develop a gallery of physiological data examples good and bad
Adding basic set of visualizations
Implementation of the workflow
Twitter summary
PhysioQC: A physiological data Quality Control toolbox with physiopy
OHBMHackathon #Brainhack #OHBM2023 #Physiopy
Short name for the Discord chat channel (~15 chars)
physiopy-qc
Please read and follow the OHBM Code of Conduct
[X] I agree to follow the OHBM Code of Conduct during the hackathon
Title
PhysioQC: A physiological data Quality Control toolbox with physiopy
Short description and the goals for the OHBM BrainHack
Physiopy is a community formed around developing solutions to operate physiological files in neuroimaging setups. The objective of this project is to get a good workflow and command line interface that generates quality analysis metrics and outputs these elements as .csv, .json files, and creates an html visual report. We additionally hope to build useful, interactive widgets and interfaces to help physio users to check and analyze their data with ease.
All contributions are welcome and accepted, from any level of contribution. We follow the all-contributors specification to report contributions, and adopt physiopy's contributors guide and code of conduct.
Link to the Project
https://github.com/physiopy/physioqc
Image/Logo for the OHBM brainhack website
https://github.com/physiopy/phys2bids/blob/master/docs/_static/physiopy_logo_1280x640.png?raw=true
Project lead
Sarah Goodale, Github: goodalse2019, Discord: sarahgoodale Roza Bayrak, Github: rgbayrak, Discord: rgbayrak (virtual, asynchronous in CST)
Main Hub
Seoul
Link to the Project pitch
No response
Other hubs covered by the leaders
Skills
We welcome all contributors and contributions, from any skillset and level. No prior git knowledge necessary, if willing to learn on the spot! Knowledge of python helpful CLI: basic Visualization: intermediate Interactive visualization: super helpful but not required!
Recommended tutorials for new contributors
Set up a brainhack friendly computing enviornment Python: Writing a script Python: Visualisation VCS: Using Git and Github
Good first issues
Twitter summary
PhysioQC: A physiological data Quality Control toolbox with physiopy
OHBMHackathon #Brainhack #OHBM2023 #Physiopy
Short name for the Discord chat channel (~15 chars)
physiopy-qc
Please read and follow the OHBM Code of Conduct