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超越手腕:使用智能手表心电图检测心电图异常。

Beyond the wrist: Using a smartwatch electrocardiogram to detect electrocardiographic abnormalities.

机构信息

Cardiothoracic unit, Bordeaux university hospital, CHU, 33600 Pessac, France; IHU Liryc, Electrophysiology and Heart Modelling Institute, Fondation Bordeaux université, 33600 Pessac, France.

Cardiothoracic unit, Bordeaux university hospital, CHU, 33600 Pessac, France; IHU Liryc, Electrophysiology and Heart Modelling Institute, Fondation Bordeaux université, 33600 Pessac, France.

出版信息

Arch Cardiovasc Dis. 2022 Jan;115(1):29-36. doi: 10.1016/j.acvd.2021.11.003. Epub 2021 Dec 23.

Abstract

BACKGROUND

When worn on the wrist, smartwatch electrocardiograms may provide important but incomplete information.

AIMS

We sought to evaluate the added benefit of placing the smartwatch on the ankle and on the chest to diagnose various electrocardiographic abnormalities compared with 12-lead electrocardiograms.

METHODS

Two hundred and sixty patients with (n=189) or without (n=71) known cardiac disorders underwent 12-lead electrocardiogram and smartwatch electrocardiogram recordings of lead I (AW-I) and of leads I and II and pseudo chest leads V1 and V6 (AW-4). AW-I and AW-4 diagnoses (three-cardiologist consensus) were compared with 12-lead electrocardiogram diagnoses (three-cardiologist consensus) to calculate sensitivity and specificity.

RESULTS

AW-I showed high accuracy for the diagnoses of atrial fibrillation (96% sensitivity, 91% specificity) and complete bundle branch block (85% sensitivity, 98% specificity). Compared with AW-I, AW-4 improved detection of an abnormal 12-lead electrocardiogram (91% vs. 80% sensitivity; P<0.01), atrial flutter/tachycardia (69% vs. 25% sensitivity; P=0.04), T-wave abnormalities (77% vs. 34% sensitivity; P<0.01), pathological Q-waves (41% vs. 7% sensitivity; P<0.01) and left anterior hemiblock (70% vs. 0% sensitivity; P=0.02). AW-4 also enabled better differentiation between atrioventricular block and sinus bradycardia (from 81% to 95% correct; P=0.03) and between atrial fibrillation and atrial flutter/tachycardia (from 71% to 89% correct; P=0.02), but not between bundle branch blocks (from 82% to 87% correct; P=0.57).

CONCLUSIONS

A smartwatch electrocardiogram on the wrist accurately diagnoses atrial fibrillation and bundle branch block. Recording additional leads significantly improves the accuracy of detecting an abnormal electrocardiogram and repolarization changes, and also allows for better differentiation of brady- and tachyarrhythmias.

摘要

背景

戴在手腕上的智能手表心电图可能提供重要但不完整的信息。

目的

我们旨在评估将智能手表放在脚踝和胸部与 12 导联心电图相比,对诊断各种心电图异常的额外益处。

方法

260 名患有(n=189)或不患有(n=71)已知心脏疾病的患者接受了 12 导联心电图和导联 I(AW-I)和 I 和 II 导联以及假性胸导联 V1 和 V6(AW-4)的智能手表心电图记录。AW-I 和 AW-4 诊断(三人心电图医师共识)与 12 导联心电图诊断(三人心电图医师共识)进行比较,以计算敏感性和特异性。

结果

AW-I 对心房颤动(96%的敏感性,91%的特异性)和完全性束支传导阻滞(85%的敏感性,98%的特异性)的诊断具有很高的准确性。与 AW-I 相比,AW-4 提高了异常 12 导联心电图的检出率(91%对 80%的敏感性;P<0.01),心房扑动/心动过速(69%对 25%的敏感性;P=0.04),T 波异常(77%对 34%的敏感性;P<0.01),病理性 Q 波(41%对 7%的敏感性;P<0.01)和左前半阻滞(70%对 0%的敏感性;P=0.02)。AW-4 还能更好地区分房室传导阻滞和窦性心动过缓(从 81%到 95%的正确;P=0.03)和心房颤动和心房扑动/心动过速(从 71%到 89%的正确;P=0.02),但不能区分束支传导阻滞(从 82%到 87%的正确;P=0.57)。

结论

手腕上的智能手表心电图可准确诊断心房颤动和束支传导阻滞。记录额外的导联可显著提高检测异常心电图和复极改变的准确性,并能更好地区分缓速性心律失常。

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