Baylis Health Care Grant Cohorts

AI-Powered Contactless Blood Pressure Estimation: A Scalable Solution for Continuous Health Monitoring

Associate Professor Narges Armanfard, Electrical and Computer Engineering

Executive Summary

Hypertension and hypotension affect millions globally, posing significant health and economic challenges. Traditional blood pressure (BP) monitoring methods are limited by discomfort, inconvenience, and inability to provide continuous tracking. This proposal focuses on developing a groundbreaking, non-invasive, video-based BP monitoring system leveraging AI for real-time, continuous health management. The technology offers a scalable and accessible solution for individuals, healthcare providers, and insurers, addressing gaps in current tools and enabling proactive health management. This grant will support further development, validation on diverse populations, and preparation for commercialization, with the goal of transforming BP monitoring and improving global health outcomes.