# What’s the best way to leverage 31 million days of ECG data?

## TL;DR

The paper explores how to best use large amounts of ECG data from smartwatches to detect and manage atrial fibrillation.

## Contribution

It proposes alternative notification strategies and evaluates resource use for stroke prevention.

## Key findings

- Smartwatch AF detection sensitivity varies across populations.
- Mass notifications could overwhelm healthcare systems.
- Alternate management strategies may improve efficiency.

## Abstract

Smartwatches with pulse-plethysmography sensors capable of detecting irregular rhythms, potentially atrial fibrillation (AF), are increasingly common. Their sensitivity for AF detection in different populations is unknown. If ambulatory ECG monitoring were to be offered to all individuals with notifications this would generate vast amounts of ECG data to analyse. This perspective discusses smartwatch sensitivity for actionable AF, resource utilization to optimize stroke prevention, and suggests alternate ways to manage notifications.