rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

Spécifications d'interopérabilité des mesures de santé au format FHIR (fréquence cardiaque, pression artérielle (systolique / diastolique), nombre de pas, niveau de douleur, IMC, poids, taille, température, glycémie, ...)

Estimate vital signs such as heart rate and respiratory rate from video.

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing [NeurIPS 2024]

radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction

MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)

iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels [Electronics 2024]

JavaScript implementation of Remote Photoplethysmography – Measuring pulse rate using facial video.

Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

Official repository of "Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones".

Monitor vital signs in Driver's seat

The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).

Site de teleconsulta do Exergame

This project is an independent approach to acquire patient data from Philips patient monitors via network interface.

Query Dräger Medibus via NodeJs

Android application which measures some of the vital signs without extra components on your phone

Sistema de Baixo Custo para Monitoramento Remoto de Sinais Vitais | Low-Cost System for Remote Monitoring of Vital Signs

A MATLAB toolbox for Photoplethysmography Imaging

A demo of react-sparkline alongside YottaDB with a vital signs dashboard the use case