SCAI-Lab/VitalPy
A Vital Signal Analysis Package
This tool helps researchers and biomedical engineers analyze Photoplethysmography (PPG) signals to understand vital signs. You input raw PPG waveform data, and it outputs a comprehensive set of over 400 preprocessed signals and extracted features. This is ideal for medical researchers, data scientists in health tech, or anyone analyzing physiological data from wearable devices.
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Use this if you need to thoroughly process raw PPG data and extract a wide range of features for research or medical device development.
Not ideal if you're looking for a plug-and-play solution for immediate diagnostic output without needing to work with the raw signal data and features.
Stars
23
Forks
1
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 18, 2024
Commits (30d)
0
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