Juno: Contactless Detection of Life-Threatening Cardiorespiratory Events Across the Human Lifespan — and Towards Exposome Sensing

 

PI: Suman Banerjee, professor of Computer Sciences and affiliate Electrical and Computer Engineering

Co-PIs:

Akarsh Prabhakara, assistant professor of Computer Sciences (affiliate Electrical and Computer Engineering)

Matthew Kalscheur, associate professor of Cardiovascular Medicine

Ryan McAdams, professor of Neonatology, Newborn Nursery and Global Pediatrics

Description: Cardiovascular disease is the leading cause of death in the United States, and premature infants in intensive care units face life-threatening breathing and heart rate crises from their very first days. The critical vulnerability in both scenarios is that the monitoring technology they depend on requires physical contact, wearable sensors, or a human bystander.

This project, Juno, proposes a fundamentally different approach, using ubiquitous radio frequency signals to monitor cardiac health continuously and without contact, with no device worn or attached. In the near term, Juno will automatically detect cardiac emergencies in adults and life-threatening apnea events in premature neonates. In the longer term, this sensing infrastructure becomes the foundation for mapping how environmental exposures (exposome) drive disease across entire populations. Seed funding will generate the clinical results and interdisciplinary collaborations needed to pursue ARPA-H and NSF funding within two years.