Prediction of Blood Pressure from ECG and PPG signals using regression methods.
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Updated
Jul 30, 2020 - Python
Prediction of Blood Pressure from ECG and PPG signals using regression methods.
PaPaGei: Open Foundation Models for Optical Physiological Signals
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)
A Vital Signal Analysis Package
NAS-PPG: PPG-Based Heart Rate Estimation Using Neural Architecture Search
Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022
An Adjustable Photoplethysmography Evaluation System for Educational Activities
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Digital Biomarkers for Parkinson's Disease Toolbox.
This project uses Recurrence Plot(RP) to detect peaks caused by pulse from ppg signals. The main idea is labeling peaks for clean ppg signal first, then adding noise into ppg signal as trainning material. The model seleted for this task is a basic CNN model. See attached slides for more detais.
Systole: A python package for cardiac signal synchrony and analysis
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