Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.
- Form factor
- Wrist
- Signals
- PPG
- License
none declared (no LICENSE file in repo at the recorded commit; all rights reserved by default)
- Type
- Task model
- Modalities
- PPG
- Form factor
- Wrist
- Parameters
- Not reported
- Architecture
- Not reported
- Venue
- Not reported
- Year
- Not reported
- arXiv
- Not reported
- DOI
- Not reported
- Weights
- Not released
- Licence
- none declared (no LICENSE file in repo at the recorded commit; all rights reserved by default)
- Caveats
- Not reported
- Datasets
- Not reported
- Added
- Oct 19, 2026
- Updated
- Oct 19, 2026
Original description
Sensing, Interaction & Perception Lab, Department of Computer Science, ETH Zürich, Switzerland
Use ———- Execute main.py. Without any modification, it will run with the provided example data of 1 hour of 4 recording traces at 128 Hz. HR errors for all contributing PPG traces and the fusion trace are printed.
To use with your own PPG data, modify the corresponding lines in the file header.
Verbatim fromGitHub· Description from the repository README
How it works
- Inputs
- PPG
- Approach
- code release · no weights
Datasets
Cite
APA
Multi-site PPG robust HR. (n.d.).
BibTeX
@misc{multisiteppgrobumultisite,
title = {{Multi-site PPG robust HR}}
}Built from the hub record. Check it against the publisher before submitting.
History
Added to the ChatPPG research hub