Detecting hidden heart rhythm disorders using wearable ECG technology
Official title: Unmasking Concealed Arrhythmia Syndromes
Run by Imperial College London · NCT06988189 · Data updated 2026-11-12
This study is testing whether wearable heart monitors can help find hidden heart rhythm problems, specifically Brugada syndrome, in people who might not know they have it.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 100 Years |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | Imperial College London Academic / other |
| Locations | 1 site (London) |
| Status | Recruiting |
| Started | September 9, 2024 |
| Main results expected | November 2026 |
| Study ends | November 2026 |
| Registry record updated | May 23, 2025 |
| Trial ID | NCT06988189 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults who are willing to participate and can provide informed consent.
✕Probably not a fit
Patients who are unable to give consent or are under 18 or over 100 years old may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study evaluates the effectiveness of non-invasive electrocardiograph techniques, particularly long-term monitoring with wearable ECG devices, to identify concealed Brugada syndrome. It involves the development of an AI-enabled ECG platform to automate the detection and analysis of Brugada ECG patterns. Participants will be fitted with wearable monitors for continuous ECG monitoring, and the study will explore arrhythmic risk markers in patients with both manifest and concealed arrhythmia syndromes.
Why it matters
Potential benefit: If successful, this study could lead to improved detection and management of concealed Brugada syndrome, potentially reducing the risk of serious cardiac events.
How similar studies have gone: While the use of wearable ECG technology is gaining traction, this specific approach combining AI with long-term monitoring for Brugada syndrome is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults willing to take part * Able to give consent Exclusion Criteria: * Unable to give consent * Children age \< 18 years and adults \> 100 years old
Where it's running
-
Imperial College Healthcare NHS Trust
London, United Kingdom Recruiting
Study contacts
- Study coordinator: Keenan Saleh, MBBS
- Email: keenan.saleh10@imperial.ac.uk
- Phone: +442033132243
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.