Physiopy - Documentation of Physiological Signal Acquisition Best Practices

[goodalse2019]

Title

Physiopy - Documentation of Physiological Signal Acquisition Best Practices

Short description and the goals for the OHBM BrainHack

Physiopy is a community formed around developing tools to operate physiological files in MRI setups. This project specifically will expand our package documentation containing tips and strategies on how to collect various forms of physiological data and the use of our packages. We aim to provide a succinct overview of what physiological data are typically recorded during an fMRI experiment, how these signals are recorded, and how these signals can improve our modeling of fMRI time series data. This is an active field of research, and we hope to encourage all users to get the latest recommendations prior to initiating a new study.

Link to the Project

https://github.com/physiopy/physiopy.github.io

Image 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 Username: goodalse2019 , Discord Username: sarah goodale#5094 Inês Esteves, Github Username: isesteves, Discord Username: iesteves#5699

Main Hub

Glasgow

Other Hub covered by the leaders

• [X] Glasgow
• [ ] Asia / Pacific
• [X] Europe / Middle East / Africa
• [ ] Americas

Skills

Excitement for learning the best practices in physiological signal acquisition. We welcome all contributions from any skill set and level, this project will predominantly be focused on documentation contributions. Git - we welcome any level of git (0-3), markdown knowledge helpful

Recommended tutorials for new contributors

• [X] Set up a brainhack friendly computing environment
• [X] A introduction to Bash
• [ ] Python: Writing a script
• [ ] Python: Data analysis with Python
• [ ] Python: Visualisation
• [ ] Machine learning basics
• [ ] BIDS
• [ ] Machine learning for neuroimaging
• [X] VCS: Using Git and Github
• [ ] VCS: Data management with Datalad
• [ ] Virtualization
• [ ] High Performance Computing: Oracle cloud resource

Good first issues

• Improve documentation for package
• Build best practices libraries and summaries for various physiological signals (e.g., respiratory, cardiac, skin conductance, etc.)
• Check open source libraries and software similar to what we do
• Find links to educational courses of interest
• Build list of open source datasets with physiological signals

Twitter summary

Come join us at Physiopy working on documentation of physiological signal acquisition and best practices physiopy/physiopy.github.io @s_goodale23 @isesteves

OHBMHackathon #Brainhack #OHBM2022

Short name for the Discord chat channel (~15 chars)

physiopy-documentation

Please read and follow the OHBM Code of Conduct

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

[github-actions[bot]]

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[djarecka]

please provide a proper link to the image

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[smoia]

@djarecka sorry, my fault. Woudl this link work? https://github.com/physiopy/phys2bids/blob/master/docs/_static/physiopy_logo_1280x640.png?raw=true

[djarecka]

Thank you for submitting the project! We have 35 projects right now, woohoo! But that means the projects pitches will have to be short. We will give you tomorrow 2 minutes to pitch your project, you can have one slide or no slides! If you decide to use a slide, please include the link to the slide here.

And don't worry, you will still have more time to talk about your project during the BrainHack :-)

[goodalse2019]

https://docs.google.com/presentation/d/1RPgZWGYfSX8BiUoqFEBlSRrsgSWnkjjpUedEPfKhVs4/edit