Observational study protocol for an arrhythmia notification feature.

ABSTRACT:

Introduction

Screening for atrial fibrillation (AF) in the general population may help identify individuals at risk, enabling further assessment of risk factors and institution of appropriate treatment. Algorithms deployed on wearable technologies such as smartwatches and fitness bands may be trained to screen for such arrhythmias. However, their performance needs to be assessed for safety and accuracy prior to wide-scale implementation.

Methods and analysis

This study will assess the ability of the WHOOP strap to detect AF using its WHOOP Arrhythmia Notification Feature (WARN) algorithm in an enriched cohort with a 2:1 distribution of previously diagnosed AF (persistent and paroxysmal) and healthy controls. Recruited participants will collect data for 7 days with the WHOOP

SUBMITTER: Kumar S 

PROVIDER: S-EPMC11149124 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature