HoseinRanjbar/Blood-Pressure-Estimation
Blood Pressure Estimation from PPG Signals Using Machine Learning
This project helps healthcare researchers and medical device developers explore how to estimate blood pressure non-invasively. It takes raw photoplethysmography (PPG) signals as input and provides estimated systolic and diastolic blood pressure readings. This work is useful for those aiming to develop continuous, comfortable blood pressure monitoring solutions.
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Use this if you are a researcher or engineer investigating machine learning methods to predict blood pressure from PPG waveform data.
Not ideal if you need a fully validated, production-ready system for clinical use or direct patient monitoring.
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Dec 06, 2023
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