About the Project

Cardiovascular diseases remain one of the leading causes of mortality worldwide, yet continuous and accessible cardiac monitoring outside clinical environments is still limited. Current approaches often rely on isolated physiological measurements and episodic assessments, restricting the ability to capture subtle or evolving changes in cardiovascular function over time.

AIHEART is a scientific research project focused on investigating how wearable technologies and artificial intelligence can be combined to enable continuous, multimodal monitoring of cardiac activity. The project explores the integration of physiological signals generated by the heart, including mechanical vibrations, acoustic information, and related biosignals, to better characterize cardiovascular health in real-world settings.

Our central hypothesis is that combining multiple complementary heart-related signals through advanced machine learning models can provide more robust and clinically meaningful insights than single-sensor approaches alone. Key research questions include:

• Can multimodal wearable sensing improve the detection and characterization of cardiovascular conditions?
• Which signal combinations provide the most informative representation of cardiac function?
• How can AI models reliably interpret complex physiological patterns acquired outside controlled clinical environments?
• What is the potential of wearable multimodal monitoring for early detection and longitudinal assessment?

AIHEART is being developed in collaboration with Hospital de la Santa Creu i Sant Pau, supporting translational research at the intersection of biomedical engineering, artificial intelligence, and digital health.