navidhasanzadeh/Hypertension_PPG
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
This project helps medical researchers and healthcare professionals develop tools for early hypertension detection. It takes raw photoplethysmogram (PPG) signals—light-based measurements of blood volume changes in the microvascular bed—and processes them to identify patterns indicative of hypertension. The output helps in classifying subjects as either normal or hypertensive, offering a non-invasive approach to monitoring.
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Use this if you are a medical researcher or bioinformatician interested in building or evaluating models for hypertension detection using non-invasive PPG data, aiming for better generalization than methods relying solely on heart rate.
Not ideal if you need a direct diagnostic tool for patient use, as this is a research-grade feasibility study for model development, not a certified medical device.
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Jan 03, 2024
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