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
| Condition | Atrial Fibrillation (AF) |
| Status | Active |
| Participants | 40 |
| Est. Completion | 1 May 2027 |
| Last Updated | 15 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
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service