Remote Monitoring of AF Recurrence Using mHealth Technology

Long Standing Persistent Atrial Fibrillation

Atrial fibrillation, Digital health, Artificial intelligence, Catheter ablation, Thoracoscopic surgical AF ablation

Atrial fibrillation (AF) is the most common arrhythmia worldwide. It carries a significant health burden, conferring on sufferers a reduction in quality of life, risk of significant morbidities such as stroke and heart failure, and significant mortality. At present, diagnosis of AF involves referral for conventional 12 lead electrocardiogram (ECG) recording, ambulatory ECG for fixed time period recording, or insertion of implantable loop recorders (ILR). These investigations are limited both by recording only at specific time points and failing to explore the interaction between heart rate and day-to-day physical activity. In recent years, the use of mobile health (mHealth) devices has emerged as a direct-to-consumer option for monitoring parameters such as heart rate and activity levels. From a clinical perspective they potentially offer a less invasive and cost-effective investigative approach, with remote monitoring solution to identify and possibly predict AF. In this study, the investigators propose to recruit participants who have undergone an ablative procedure as part of a randomised clinical trial (LoTO in CASA LSPAF: NCT04280042) and monitor for recurrence of AF using mHealth technology by correlating with ILR data.

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United Kingdom