AI-Powered patch listens for heart failure clues

NCT ID NCT07667452

Recruiting now Knowledge-focused Sponsor: Vivalink Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 22, 2026 · Updated 4 times

Summary

This observational study will test whether an artificial intelligence algorithm can accurately detect heart sounds using data from a wearable ECG patch in 50 people with heart failure. Participants will wear the patch and have their heart sounds recorded with a digital stethoscope for comparison. The goal is to develop a simple, non-invasive tool that could help monitor heart failure more effectively.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a simple, wearable device that helps doctors monitor heart failure patients more easily and catch problems earlier.
What could go wrong: This is a small, early-stage observational study, not a treatment trial. The AI algorithm may not work as well in real-world settings or in different patient groups.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CARDIAC SOUND HEART FAILURE - NYHA II - IV

Contacts and locations

Locations

Second Affiliated Hospital, School of Medicine, Zhejiang University
RECRUITING

Hangzhou, Zhejiang, China

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