MahdiFarvardin/MEDVSE
Official repository of "Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones".
This project offers a deep learning model and dataset for estimating vital signs like heart rate and blood oxygen saturation from smartphone camera videos. It takes a video of a person's fingertip as input and outputs their vital sign measurements. This is useful for researchers in health tech, mobile health, and remote patient monitoring.
No commits in the last 6 months.
Use this if you are a researcher developing or testing algorithms to extract vital signs from smartphone camera footage.
Not ideal if you need a plug-and-play application for direct patient use or a certified medical device.
Stars
39
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jun 08, 2025
Commits (30d)
0
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