ActiveNCT07291570

Precision Detection and Prediction of Atrial Arrhythmias Using Artificial Intelligence and Consumer Wearable Devices (REMOTE-AF2)

Sponsor: Royal Brompton & Harefield NHS Foundation Trust

Trial Details

ConditionAtrial Fibrillation (AF)
StatusActive
Participants40
Est. Completion1 May 2027
Last Updated15 July 2026

Primary Outcome

To evaluate the accuracy of an AI algorithm based on PPG-derived metrics in predicting and detecting AF against intermittent rhythm monitoring.

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: 1. Adults aged 18 and above with a confirmed diagnosis of paroxysmal AF or those who have undergone treatment for paroxysmal, or persistent AF and had sinus rhythm restored. 2. Capability to provide informed consent, coupled with self-reported sufficiency of digital literacy. 3. Regular access to a Wi-Fi connection (at least weekly). 4. Own a smartphone (released after 2017). Exclusion Criteria: 1. Individuals with permanent or persistent AF that remains uncontrolled despite receiving treatment. 2. Conditions or disabilities that preclude adherence to study instructions or proper use of the devices. 3. A known severe allergy to any of the materials in the wearable or ECG device poses a risk to participant safety.

Trial Sites

Countries

United Kingdom
View Registry Entry

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