rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
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Updated
Jun 21, 2024 - Python
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, tour de taille, périmètre crânien)
Estimate vital signs such as heart rate and respiratory rate from video.
iBVP Dataset: RGB-Thermal rPPG Dataset with High Resolution Signal Quality Labels
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).
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
Site de teleconsulta do Exergame
This project is an independent approach to acquire patient data from Philips patient monitors via network interface.
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
Android Application that can estimate Heart rate, Blood pressure, Respiration rate and Oxygen rate from only the camera of the mobile
Instructions for constructing and installing the PiNE box hardware and software.
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)
Android heart rate monitor.
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