AI-Powered heart patch could spot irregular rhythms at home

NCT ID NCT07188129

First seen Jun 26, 2026 · Last updated Jun 26, 2026 · Updated 1 time

Summary

This study tested whether an artificial intelligence algorithm (ZywieAI) can accurately analyze heart rhythm data collected from a wearable sensor (ZywieZ3) worn for 24 hours. The sensor was placed in non-traditional positions on the chest. Researchers compared the AI's findings with assessments from cardiologists. The goal is to see if this technology can reliably detect conditions like atrial fibrillation, tachycardia, and other heart rhythm issues.

What this could mean

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

Active substance
ZywieAI algorithm and ZywieZ3 wearable ECG sensor
What this could lead to
If successful, this could lead to a more convenient way to monitor heart rhythms at home using a wearable patch, potentially improving detection of arrhythmias.
What could go wrong
This is a small, completed device validation study, not a treatment trial. The algorithm may not perform as well in real-world settings or with diverse 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.

atrial fibrillation Atrial Premature Complexes Bradycardia Tachycardia Ventricular Premature Complexes

As listed by the trial registrant

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

Contacts and locations

Locations

  • Bioscience of Bozeman, LLC

    Bozeman, Montana, 59715, United States

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