health life sciences medicine
To develop robust algorithms for automated diagnosis of medical conditions such as cardiac arrhythmias, researchers require large collections of data with human expert annotations. Currently, there is a lack of accessible, open-source platforms for human experts to collaboratively develop these annotated datasets through a web interface. In this work, we developed a flexible, generalizable, web-based framework to enable multiple users to create and share annotations on multi-channel physiological waveforms. The software is simple to install and offers a range of features, including: user management and task customization; a programmatic interface for data import and export; and a leaderboard for annotation progress tracking.
Not updated
MIT License
https://doi.org/10.13026/g06j-3612
See all datasets managed by PhysioNet.
https://physionet.org/about/#contact_us
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms was accessed on DATE from https://registry.opendata.aws/physiotag.
arn:aws:s3:::physionet-open/physiotag/us-east-1aws s3 ls --no-sign-request s3://physionet-open/physiotag/