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A Review of Deep Learning Methods for Photoplethysmography Data
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rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
A comprehensive collection of PPG-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Photoplethysmography(HR/SpO2/BP) field.
Non-invasive blood glucose estimation using smartphone PPG and demographic data. Features extracted from PPG signals, reduced via PCA/PLS, and used in regression modeling. Evaluated with RMSE and S…
This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning…
Android Application for Streaming PPG Signal Data to the Cloud and Monitoring Glucose Level in Real-Time
This repository contains a complete workflow for processing Photoplethysmography (PPG) signals to estimate blood glucose levels. The dataset includes raw PPG signals, corresponding glucose level la…
Project for estimationg level of blood glucose from PPG
Deep learning framework for accurate blood pressure (BP) estimation from PPG signals. Features include signal selection & enhancement, dual-path temporal/image-based feature extraction, M-SCAN atte…
Deep learning framework for phase-shifted rPPG
Repository for Multi-Camera rPPG dataset utilities and rPPG in general
The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."
(Verilog+FPGA EGO1) (140/100) A "real car": our project of CS207 2022 Fall: Digital Logic Design, SUSTech. Taught by Prof. James YU @James-Yu.
We aimed to construct a novel multi-modal framework based on ECG and PPG signal fusion to establish a universal BG monitoring model. This is proposed as a spatiotemporal decision fusion strategy th…