Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES
Femke Wouters, Henri Gruwez, Christophe Smeets, Anessa Pijalovic, Wouter Wilms, Julie Vranken, Zoë Pieters, Hugo Van Herendael, Dieter Nuyens, Maximo Rivero-Ayerza, Pieter Vandervoort, Peter Haemers, Laurent Pison
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Abstract

Background: Consumer-oriented wearable devices (CWDs) such as smartphones and smartwatches have gained prominence for their ability to detect atrial fibrillation (AF) through proprietary algorithms using electrocardiography or photoplethysmography (PPG)-based digital recordings. Despite numerous individual validation studies, a direct comparison of interdevice performance is lacking.

Objective: This study aimed to evaluate and compare the ability of CWDs to distinguish between sinus rhythm and AF.

Methods: Patients exhibiting sinus rhythm or AF were enrolled through a cardiology outpatient clinic. The participants were instructed to perform heart rhythm measurements using a handheld 6-lead electrocardiogram (ECG) device (KardiaMobile 6L), a smartwatch-derived single-lead ECG (Apple Watch), and two PPG-based smartphone apps (FibriCheck and Preventicus) in a random sequence, with simultaneous 12-lead reference ECG as the gold standard.

Results: A total of 122 participants were included in the study: median age 69 (IQR 61-77) years, 63.9% (n=78) men, 25% (n=30) with AF, 9.8% (n=12) without prior smartphone experience, and 73% (n=89) without experience in using a smartwatch. The sensitivity to detect AF was 100% for all devices. The specificity to detect sinus rhythm was 96.4% (95% CI 89.5%-98.8%) for KardiaMobile 6L, 97.8% (95% CI 91.6%-99.5%) for Apple Watch, 98.9% (95% CI 92.5%-99.8%) for FibriCheck, and 97.8% (95% CI 91.5%-99.4%) for Preventicus (P=.50). Insufficient quality measurements were observed in 10.7% (95% CI 6.3%-17.5%) of cases for both KardiaMobile 6L and Apple Watch, 7.4% (95% CI 3.9%-13.6%) for FibriCheck, and 14.8% (95% CI 9.5%-22.2%) for Preventicus (P=.21). Participants preferred Apple Watch over the other devices to monitor their heart rhythm.

Conclusions: In this study population, the discrimination between sinus rhythm and AF using CWDs based on ECG or PPG was highly accurate, with no significant variations in performance across the examined devices.

用于房颤检测的消费者可穿戴设备的比较评估:验证研究。
背景:面向消费者的可穿戴设备(CWDs),如智能手机和智能手表,通过使用基于心电图或光电体积脉搏波(PPG)的数字记录的专有算法检测心房颤动(AF)的能力已获得突出地位。尽管有许多单独的验证研究,但缺乏对设备间性能的直接比较。目的:本研究旨在评价和比较CWDs区分窦性心律和房颤的能力。方法:通过心脏病科门诊登记有窦性心律或房颤的患者。参与者被指示按随机顺序使用手持6导联心电图(ECG)设备(KardiaMobile 6L)、智能手表衍生的单导联心电图(Apple Watch)和两个基于ppg的智能手机应用程序(FibriCheck和preventticus)进行心律测量,同时使用12导联参考心电图作为金标准。结果:研究共纳入122名参与者:中位年龄为69岁(IQR 61-77)岁,63.9% (n=78)为男性,25% (n=30)为AF患者,9.8% (n=12)没有智能手机使用经验,73% (n=89)没有使用智能手表的经验。所有设备检测自动对焦的灵敏度均为100%。KardiaMobile 6L检测窦性心律的特异性为96.4% (95% CI 89.5%-98.8%), Apple Watch为97.8% (95% CI 91.6%-99.5%), FibriCheck为98.9% (95% CI 92.5%-99.8%), Preventicus为97.8% (95% CI 91.5%-99.4%) (P= 0.50)。在KardiaMobile 6L和Apple Watch中,10.7% (95% CI 6.3%-17.5%)的病例观察到质量测量不足,FibriCheck为7.4% (95% CI 3.9%-13.6%), preventticus为14.8% (95% CI 9.5%-22.2%) (P= 0.21)。与其他设备相比,参与者更喜欢苹果手表来监测他们的心律。结论:在本研究人群中,基于ECG或PPG使用CWDs对窦性心律和房颤的区分是高度准确的,在检查的设备之间没有明显的性能差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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