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PhysioQC: A physiological data Quality Control toolbox with physiopy #19

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goodalse2019 opened this issue Jun 19, 2024 · 0 comments
Open
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@goodalse2019
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goodalse2019 commented Jun 19, 2024

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

  • Seoul
  • Hybrid (Asia / Pacific)
  • Hybrid (Europe / Middle East / Africa)
  • 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

  • I agree to follow the OHBM Code of Conduct during the hackathon
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