Can a Wrist-Worn sensor outsmart atrial fibrillation?
NCT ID NCT07749183
First seen Aug 06, 2026 · Last updated Aug 07, 2026 · Updated 1 time
Summary
This trial tests whether a machine-learning algorithm can detect atrial fibrillation (AF) early by analyzing pulse wave signals from a wearable sensor. The study involves 200 adults with heart failure, comparing the algorithm's readings against standard ECG results. If it works, this could allow continuous, non-invasive monitoring to catch AF sooner and help prevent complications.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- A machine-learning algorithm that analyzes photoplethysmography (PPG) signals to detect irregular heart rhythms associated with atrial fibrillation.
- What this could lead to
- If successful, this could enable early detection of atrial fibrillation during routine remote monitoring, potentially reducing stroke risk and improving heart failure management.
- What could go wrong
- The algorithm is still being validated; its accuracy may not hold up in real-world settings, and false alarms or missed detections could limit its usefulness.
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 200 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Oct 2025
- Expected to finish
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Nov 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adults ≥18 years with a diagnosis of heart failure (HFrEF, HFmrEF, or HFpEF) from Slovakia
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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: * Adults ≥18 years with a diagnosis of heart failure (HFrEF, HFmrEF, or HFpEF) * 12-lead ECG performed to confirm cardiac rhythm classification (AF vs. non-AF) Exclusion Criteria: * Missing a valid PPG recording
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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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Premedix
RECRUITINGBratislava, Slovakia
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