Physiological signal classification challenge

[drombas]

Project info

Title:
Physiological signal classification challenge

Project lead:
David Romero (@drombas) and Stefano Moia (@smoia)

Timezone
Brussels UTC+2

Description:
Phys2bids is a python3 library to format physiological files in BIDS. One of the current development goals is to make phys2bids smarter by implementing an automatic signal classificator. Ideally, given a physiological signal as input, phys2bids should be able to determine the type of the signal (cardiac, respiratory …).

To move forward, this project is structured as a challenge: we provide time-series data of 4 kinds of physiological signals (cardiac, respiratory chest, O2 and CO2) and the goal will be to collaborate to find robust features that allow discerning between them.

Link to project:

• phys2bids
• Related issue

Mattermost handle:

• @drombas
• @smoia

Goals for the OHBM Brainhack

1. Find a set of features that allow us to classify the 4 signals in our dataset with 100% accuracy
2. (If time permits) Extend the algorithm to classify other signals (e.g. galvanic skin response)
3. (If time permits) Test the algorithm in other datasets

Good first issues:

• Create a google collab file for basic data loading and visualization
• Create a shared google document to share ideas/results

Skills:

• Basic knowledge of time-series analysis and programming is desirable but not required
• Creativity to come up with ideas

Number of participants: <= 10

Acknowledge contributions: Physiopy adopts the all-contributors system to recognise contributions. Contributors will be recognised as such in the relevant library README (e.g. here) and as authors during outreach (conference posters, talks, ...).

Documentation
physiopy's contributors guidelines
physiopy's code of conduct

Chat channel:
~hbm-physiopy

Image for the OHBM brainhack website

Project submission

Submission checklist

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• Specify how will you acknowledge contributions (e.g. listing members on a contributing page).
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QMENTA has agreed to sponsor the event and provide computational resources through their platform.

• Get in touch with QMENTA through their Brain Innovation Hub Slack space, if you think your project would benefit from their support.

[tiborauer]

@drombas, Thank you for submitting your project. I wonder whether you want to upload another image for the website because this one is already part of another project: #12

[smoia]

Hey @tiborauer ! We're going to slightly change the image in #12 , but we'd prefer to keep this one here (and possibly in another project that will be submitted soon) because it comes from the same community...

[tiborauer]

I can see no problem in sharing images. I only wanted to make sure it is intended.

[drombas]

hi @ohbm/project-monitors: My project is ready!