Wearable Signal Tools · Signal processing
KID-PPG
Python signal processing toolbox for PPG and accelerometer/IMU signals
What is KID-PPG?
KID-PPG is a Python package for heart rate extraction from wrist PPG that uses accelerometer data and a pre-trained deep learning model with probabilistic output to handle motion artefacts.
KID-PPG at a glance
- Signals
- Category
- Signal processing
- Domains
- motion artifact
- Language
- Python
- Licence
- GPL-3.0
- Commercial use
- yes
- Maintenance
- Last commit 1 to 3 years ago (as of Oct 21, 2026)
- Last commit
- May 8, 2024
Related open-source tools
Other Wearable Signal Tools that share a signal with KID-PPG.
Summary, licence and commercial-use fields are shown as recorded for this project. Maintenance is computed from the last commit date. Check the project’s own repository for its current licence and status.