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Dataset Information

Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study.


ABSTRACT:

Background

Atrial fibrillation (AF) is often paroxysmal and minimally symptomatic, hindering its diagnosis. Smartwatches may enhance AF care by facilitating long-term, noninvasive monitoring.

Objective

This study aimed to examine the accuracy and usability of arrhythmia discrimination using a smartwatch.

Methods

A total of 40 adults presenting to a cardiology clinic wore a smartwatch and Holter monitor and performed scripted movements to simulate activities of daily living (ADLs). Participants' clinical and sociodemographic characteristics were abstracted from medical records. Participants completed a questionnaire assessing different domains of the device's usability. Pulse recordings were analyzed blindly using a real-time realizable algorithm and compared with gold

SUBMITTER: Ding EY 

PROVIDER: S-EPMC6834225 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature