AI-Powered patch listens for heart failure clues
NCT ID NCT07667452
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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 50 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jul 2026
- Expected to finish
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May 2027
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adult patients diagnosed with heart failure (NYHA classification II\~IV)
- Ages
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18 years and older
- Sex
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Anyone
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age ≥ 18 years old; * Body mass index (BMI) \< 35 kg/m²; * Diagnosed with heart failure: according to "Chinese Guidelines for Diagnosis and Treatment of Heart Failure in 2024", "ESC Guidelines for Diagnosis and Treatment of Acute and Chronic Heart Failure in 2021", and "AHA/ACC/HFSA Guidelines for Management of Heart Failure in 2022"; * NYHA classification II - IV; * Able to fully understand the purpose and process of the trial, and willing to sign the informed consent form. Exclusion Criteria: * Physical disabilities that prevent safe and thorough testing; * Open wounds on the chest or the skin is allergic to the patches; * Large amount of pericardial effusion, pericardial tamponade, pleural friction rub, pneumothorax, and a large amount of pleural effusion, which may affect data collection; * Patients with severe comorbidities or unstable conditions, which may interfere with data collection during the study period; * Other situations where the investigator believes the subject is not suitable to participate in this trial, such as those that may increase trial risk, affect the protocol compliance, or impair the subject's ability to complete the trial due to physical or psychological diseases or conditions.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Second Affiliated Hospital, School of Medicine, Zhejiang University
RECRUITINGHangzhou, Zhejiang, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Wearable ECG patch could unlock hidden heart risks
- Exercise-Triggered heart valve leak targeted in new trial
- Smarter heart pacing could cut hospital stays for heart failure patients
- Can a dedicated heart failure network improve outcomes after hospitalization?
- Apple watch vs. heart failure: can a smartwatch save lives?
- Smart patch could keep heart failure patients out of the hospital