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2
Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow.盲法临床医生解读单导联智能手机心电图的准确性和拟议的临床工作流程。
Am Heart J. 2018 Nov;205:149-153. doi: 10.1016/j.ahj.2018.08.001. Epub 2018 Aug 23.
3
Assessing the accuracy of an automated atrial fibrillation detection algorithm using smartphone technology: The iREAD Study.利用智能手机技术评估自动心房颤动检测算法的准确性:iREAD 研究。
Heart Rhythm. 2018 Oct;15(10):1561-1565. doi: 10.1016/j.hrthm.2018.06.037. Epub 2018 Aug 22.
4
Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO).使用智能手机摄像头检测心房颤动:首次前瞻性、国际性、双中心、临床验证研究(DETECT AF PRO)。
Europace. 2019 Jan 1;21(1):41-47. doi: 10.1093/europace/euy176.
5
Head-to-Head Comparison of the AliveCor Heart Monitor and Microlife WatchBP Office AFIB for Atrial Fibrillation Screening in a Primary Care Setting.在初级保健机构中,AliveCor心脏监测仪与Microlife WatchBP Office AFIB用于心房颤动筛查的直接比较
Circulation. 2017 Jan 3;135(1):110-112. doi: 10.1161/CIRCULATIONAHA.116.024439.
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Screening for atrial fibrillation during influenza vaccinations by primary care nurses using a smartphone electrocardiograph (iECG): A feasibility study.基层保健护士使用智能手机心电图(iECG)在流感疫苗接种期间筛查心房颤动:一项可行性研究。
Eur J Prev Cardiol. 2016 Oct;23(2 suppl):13-20. doi: 10.1177/2047487316670255.
7
Diagnostic Performance of a Smartphone-Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting.基于智能手机的光电容积脉搏波描记术应用程序在基层医疗环境中用于心房颤动筛查的诊断性能。
J Am Heart Assoc. 2016 Jul 21;5(7):e003428. doi: 10.1161/JAHA.116.003428.
8
Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting.手持式心电图设备在心脏病学和老年病科病房环境中检测心房颤动的性能。
Europace. 2017 Jan;19(1):29-39. doi: 10.1093/europace/euw025. Epub 2016 Feb 17.
9
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Eur J Cardiothorac Surg. 2016 Jul;50(1):44-51. doi: 10.1093/ejcts/ezv486. Epub 2016 Feb 4.
10
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智能手机操作单导联心电图设备在初级保健中检测节律和传导异常的诊断准确性。

Diagnostic Accuracy of a Smartphone-Operated, Single-Lead Electrocardiography Device for Detection of Rhythm and Conduction Abnormalities in Primary Care.

机构信息

Amsterdam UMC, University of Amsterdam, Department of General Practice, Amsterdam Public Health, Amsterdam, The Netherlands

Amsterdam UMC, University of Amsterdam, Department of General Practice, Amsterdam Public Health, Amsterdam, The Netherlands.

出版信息

Ann Fam Med. 2019 Sep;17(5):403-411. doi: 10.1370/afm.2438.

DOI:10.1370/afm.2438
PMID:31501201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7032908/
Abstract

PURPOSE

To validate a smartphone-operated, single-lead electrocardiography (1L-ECG) device (AliveCor KardiaMobile) with an integrated algorithm for atrial fibrillation (AF) against 12-lead ECG (12L-ECG) in a primary care population.

METHODS

We recruited consecutive patients who underwent 12L-ECG for any nonacute indication. Patients held a smartphone with connected 1L-ECG while local personnel simultaneously performed 12L-ECG. All 1L-ECG recordings were assessed by blinded cardiologists as well as by the smartphone-integrated algorithm. The study cardiologists also assessed all 12L-recordings in random order as the reference standard. We determined the diagnostic accuracy of the 1L-ECG in detecting AF or atrial flutter (AFL) as well as any rhythm abnormality and any conduction abnormality with the simultaneously performed 12L-ECG as the reference standard.

RESULTS

We included 214 patients from 10 Dutch general practices. Mean ± SD age was 64.1 ± 14.7 years, and 53.7% of the patients were male. The 12L-ECG diagnosed AF/AFL, any rhythm abnormality, and any conduction abnormality in 23, 44, and 28 patients, respectively. The 1L-ECG as assessed by cardiologists had a sensitivity and specificity for AF/AFL of 100% (95% CI, 85.2%-100%) and 100% (95% CI, 98.1%-100%). The AF detection algorithm had a sensitivity and specificity of 87.0% (95% CI, 66.4%-97.2%) and 97.9% (95% CI, 94.7%-99.4%). The 1L-ECG as assessed by cardiologists had a sensitivity and specificity for any rhythm abnormality of 90.9% (95% CI, 78.3%-97.5%) and 93.5% (95% CI, 88.7%-96.7%) and for any conduction abnormality of 46.4% (95% CI, 27.5%-66.1%) and 100% (95% CI, 98.0%-100%).

CONCLUSIONS

In a primary care population, a smartphone-operated, 1L-ECG device showed excellent diagnostic accuracy for AF/AFL and good diagnostic accuracy for other rhythm abnormalities. The 1L-ECG device was less sensitive for conduction abnormalities.

摘要

目的

验证一款智能手机操作的单导联心电图(1L-ECG)设备(AliveCor KardiaMobile),该设备配备了用于心房颤动(AF)的集成算法,在初级保健人群中与 12 导联心电图(12L-ECG)进行对比。

方法

我们招募了因非急性原因接受 12L-ECG 检查的连续患者。患者在当地人员同时进行 12L-ECG 检查的同时,手持连接着 1L-ECG 的智能手机。所有 1L-ECG 记录均由盲法心脏病专家以及智能手机集成算法进行评估。研究心脏病专家还随机评估所有 12L 记录作为参考标准。我们确定了 1L-ECG 在检测 AF 或心房扑动(AFL)以及任何节律异常和任何传导异常方面的诊断准确性,同时进行的 12L-ECG 作为参考标准。

结果

我们纳入了来自 10 家荷兰普通诊所的 214 名患者。平均年龄±标准差为 64.1±14.7 岁,53.7%的患者为男性。12L-ECG 诊断出 AF/AFL、任何节律异常和任何传导异常的患者分别为 23、44 和 28 例。心脏病专家评估的 1L-ECG 对 AF/AFL 的灵敏度和特异性为 100%(95%CI,85.2%-100%)和 100%(95%CI,98.1%-100%)。AF 检测算法的灵敏度和特异性分别为 87.0%(95%CI,66.4%-97.2%)和 97.9%(95%CI,94.7%-99.4%)。心脏病专家评估的 1L-ECG 对任何节律异常的灵敏度和特异性分别为 90.9%(95%CI,78.3%-97.5%)和 93.5%(95%CI,88.7%-96.7%),对任何传导异常的灵敏度和特异性分别为 46.4%(95%CI,27.5%-66.1%)和 100%(95%CI,98.0%-100%)。

结论

在初级保健人群中,智能手机操作的 1L-ECG 设备对 AF/AFL 具有出色的诊断准确性,对其他节律异常也具有良好的诊断准确性。1L-ECG 设备对传导异常的敏感性较低。