Plain-English translation of NCT06988189 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are testing whether wearable heart monitors combined with artificial intelligence can better detect Brugada syndrome — a condition that affects how your heart's electrical signals work. Some people with this syndrome have obvious signs on a standard heart test (called an ECG), while others have no visible signs despite having the condition. This study will give participants wearable heart monitors to wear continuously and use new AI technology to analyze the heart rhythm data collected.
Many people with Brugada syndrome don't know they have it because standard heart tests look normal, even though they're at risk for dangerous heart rhythms. This study aims to develop better tools — using wearable monitors and computer algorithms — to catch these hidden cases so people can receive appropriate monitoring and treatment.
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You will be fitted with a wearable heart monitor or small portable ECG device that you wear continuously over a period of time to record your heart's electrical activity. The device will capture your heart rhythm throughout your daily activities — while you work, exercise, sleep, and rest. Researchers will then use new artificial intelligence technology to analyze this data and look for signs of Brugada syndrome or other heart rhythm patterns, helping identify cases that might not show up on a standard heart test.
AI-generated summary from trial data · Jun 10, 2026 · Not medical advice
United Kingdom
Sponsor
Imperial College London
Enrollment target
~200 participants
Started
September 2024
Primary completion
November 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 100 Years
Last updated on clinicaltrials.gov in May 2025.
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Central contact
Keenan Saleh, MBBS
Imperial College London
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