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Closing this Discussion as it moved to #186 |
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Hi everyone,
I’ve developed a web application that integrates the excellent yasa library into a user-friendly web platform. The application, named YASA Flaskified, is built with Flask, Gunicorn, and Nginx. I currently use it on internal servers as a quality control step after manual scoring. (I am a pulmonologist and somnologist.)
You can find it on my GitHub repository: YASA Flaskified.
I have used only Somnomedics EDF files so far, but the script attempts to automatically identify EEG channels, so I believe it is usable for other EDF files as well. It generates both a hypnogram PDF and a CSV output for further analysis. You can see a showcase on sleepai.be and sleepai.eu, though due to bandwidth constraints, only admin users can register new accounts. I can provide a test login and password upon request.
I want to thank Raphael for the fantastic yasa library—it has been incredibly useful for this project!
Contributions and feedback are more than welcome, and I’m happy to assist with any issues you encounter during deployment on a server.
Looking forward to hearing your thoughts!
Best regards,
Bart
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