CARG Health Devices: Continuos blood pressure monitoring
Machine learning and signal processing advances for reliable, cuffless, long-term blood pressure monitoring 
CARG Health Devices
The CARG Health Devices Group at the University of Ottawa has been working since 2012 on advanced research in monitoring physiological signals through wearable and contactless technologies. Our focus is to create intelligent systems that can continuously, non-invasively, and unobtrusively monitor vital signs, detect falls, and track activities, especially for elderly individuals. We’re making our systems effective for use by older adults and individuals with conditions such as heart failure and arteriosclerosis. Our expertise lies in biomedical instrumentation, signal processing, and machine learning.
We work on both contractless and wearable devices and technologies. The work on wearable devices include ECG-assisted oscillometric and BCG-assisted cuffless blood pressure monitoring. The work on contactless monitoring includes breathing and heart rate estimation and breathing pattern classification using radars, RGB, thermal and 3D cameras.
Here is the list of current projects:
CARG Health Devices: Contactless Estimation of Vital Signs
Radar-based signal processing and machine learning for detecting activities and falls and estimating vital signs. 
CARG Health Devices: Video-Based JVP Estimation
Computer vision and signal processing for estimating jugular vein height based on short video recordings of the neck. 
CARG Health Devices: Emotion Recognition using Physiological Signals
Machine learning and signal processing of ECG, PPG, breathing and EDA signals for emotion recognition 
CARG Health Devices: Simulation and Modeling of Physiological Devices and Systems
Model-based biomedical research 