
In-Home Wearable System to Detect Early-Stage Decompensation in Heart Failure Patients
PI: Yeonsik Noh
About
This project develops a wearable system and app to detect early signs of heart failure decompensation, aiming to improve outcomes through timely, remote intervention.
Heart failure (HF) affects over 6 million people in the U.S. and is one of the most common causes of hospitalization. Current in-home monitoring methods, like weight tracking, are insufficient for early detection of Acute Decompensated Heart Failure (ADHF). This project proposes developing a wearable monitoring system to more accurately detect early signs of HF decompensation. The project includes: developing the wearable vest and BED device, creating a smartphone app with a clinical decision-support algorithm, establishing cloud infrastructure, and conducting a clinical study with high-risk HF patients. The ultimate goal is to produce a reliable, user-friendly telehealth monitoring system to improve outcomes in HF patients by enabling early detection and intervention.