Sensor Fusion for Biometric and Environmental Data

CHAH’s mission is to revolutionize healthcare by enabling personalized, proactive home care. Using AI and sensor technology, CHAH transforms homes into intelligent health monitoring environments, tracking physiological and behavioral indicators to detect early health risks and enable timely intervention. Its flagship initiatives include AI-driven predictive healthcare models, real-time sensor fusion, and secure platforms for seamless patient-caregiver communication. By integrating biometric (e.g., heart rate, respiratory patterns, sleep) and environmental (e.g., air quality, movement, medication adherence) data, CHAH enhances early disease detection, reduces preventable hospitalizations, and improves long-term outcomes.
Canada’s healthcare system faces a crisis of unsustainable costs, hospital overcrowding, and gaps in chronic disease management, exacerbated by an aging population. Remote AI health monitoring offers a scalable, cost-effective solution, particularly for chronic conditions like cardiovascular disease, respiratory illnesses, and neurodegenerative disorders. AI-driven monitoring delivers clinically relevant insights, personalized alerts, and data-driven recommendations, ensuring at-risk individuals receive timely, high-quality care without unnecessary hospital visits.
By enabling millions of Canadians to receive care at home, CHAH seeks to transform healthcare delivery, alleviate systemic strain, and improve patient outcomes on a national scale.

Faculty Supervisor:

Qizhen Zhang

Student:

Partner:

CHAH Technology

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: