esl-epfl/KID-PPG
KID-PPG package for heart rate extraction from photoplethysmography signals
This helps researchers and health professionals accurately measure heart rate from photoplethysmography (PPG) signals, like those collected by smartwatches or fitness trackers. You input raw PPG data, and it outputs a precise heart rate reading. This is ideal for scientists studying cardiovascular health or developing wearable sensor applications.
No commits in the last 6 months. Available on PyPI.
Use this if you need a pre-trained, deep learning model to reliably extract heart rate from PPG signals without extensive model development.
Not ideal if you need to process other physiological signals besides PPG, or if you require real-time, on-device processing for very low-power applications.
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Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Sep 04, 2024
Commits (30d)
0
Dependencies
5
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