Roza G. Bayrak (@rgbayrak)
roza.g.bayrak@vanderbilt.edu
Collaborators
Stefano Moia (@smoia), Lars Kasper (@mrikasper), David Romero
Brainhack Global 2022 Event
Brainhack Physiopy
Project Description
peakdet aims to provide a set of tools that will work with a variety of input data to reproducibly generate analysis-ready physiological data.
peakdet is designed for use in the reproducible processing and analysis of physiological data, like those collected from respiratory belts, pulse photoplethysmography (PPG), or electrocardiogram (ECG/EKG) monitors.
What makes your project special and exciting?
Physiological monitoring is a key component of understanding physiological sources of signal variance in fMRI data. Monitoring physiology during scanning is critical to enable the characterization of a given subject's physiologic state at the time of the scan, and to track variations in physiology throughout the scan. With these data, we can more accurately model how these factors manifest in the fMRI signal time series.
Title
PhysioPy - peakdet
Leaders
Roza G. Bayrak (@rgbayrak) roza.g.bayrak@vanderbilt.edu
Collaborators
Stefano Moia (@smoia), Lars Kasper (@mrikasper), David Romero
Brainhack Global 2022 Event
Brainhack Physiopy
Project Description
peakdet
aims to provide a set of tools that will work with a variety of input data to reproducibly generate analysis-ready physiological data.peakdet
is designed for use in the reproducible processing and analysis of physiological data, like those collected from respiratory belts, pulse photoplethysmography (PPG), or electrocardiogram (ECG/EKG) monitors.What makes your project special and exciting? Physiological monitoring is a key component of understanding physiological sources of signal variance in fMRI data. Monitoring physiology during scanning is critical to enable the characterization of a given subject's physiologic state at the time of the scan, and to track variations in physiology throughout the scan. With these data, we can more accurately model how these factors manifest in the fMRI signal time series.
How to get started?
Join our Slack channel!
Where to find key resources?
Documentation: https://peakdet.readthedocs.io/en/latest/
Link to project repository/sources
Documentation: https://peakdet.readthedocs.io/en/latest/
Github: https://github.com/physiopy/peakdet
Goals for Brainhack Global
Good first issues
Communication channels
Slack!
Skills
Onboarding documentation
No response
What will participants learn?
This is going to be an exercise in testing, understanding and documenting. You will learn:
Data to use
See the issues!
Number of collaborators
more
Credit to collaborators
We're looking for code contributors, but any suggestion/bug report is welcome! Feel free to open issues!
This project follows the all-contributors specification. Contributions of any kind welcome!
Image
Type
documentation, pipeline_development, visualization
Development status
1_basic structure
Topic
physiology
Tools
other
Programming language
Matlab, Python
Modalities
other
Git skills
0_no_git_skills, 1_commit_push, 2_branches_PRs
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhackorg/project-monitors my project is ready!