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植入式心脏复律除颤器患者使用的面向消费者的诊断传感器

Consumer-facing Diagnostic Sensors in a Patient with Implantable Cardioverter-Defibrillator.

作者信息

Doshi Anjali M, Ebert Rebecca M, Grinnell James D, Saxon Leslie A

机构信息

Center for Body Computing, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Division of Cardiovascular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

出版信息

J Innov Card Rhythm Manag. 2019 Sep 15;10(9):3822-3825. doi: 10.19102/icrm.2019.100907. eCollection 2019 Sep.

DOI:10.19102/icrm.2019.100907
PMID:32477751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7252641/
Abstract

Since its introduction in 2015, the Apple Watch (Apple Inc., Cupertino, CA, USA) has been purchased by an estimated 60 million consumers and boasts algorithms cleared by the United States Food and Drug Administration able to detect bradycardia, tachycardia, and atrial fibrillation, with the newest version of the device also allowing for real-time electrocardiogram acquisition. This case offers potentially the first demonstration of an Apple Watch correctly detecting atrial fibrillation with an implantable cardioverter-defibrillator confirming the accuracy of the detection from stored electrograms.

摘要

自2015年推出以来,苹果手表(美国加利福尼亚州库比蒂诺市苹果公司)估计已被6000万消费者购买,并且拥有经美国食品药品监督管理局批准的算法,能够检测心动过缓、心动过速和心房颤动,该设备的最新版本还允许进行实时心电图采集。本病例可能首次展示了苹果手表正确检测出心房颤动,同时植入式心脏复律除颤器从存储的心电图中证实了检测的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3da/7252641/b380811c6a8b/icrm-10-3822-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3da/7252641/59677d48bb53/icrm-10-3822-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3da/7252641/b380811c6a8b/icrm-10-3822-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3da/7252641/59677d48bb53/icrm-10-3822-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3da/7252641/b380811c6a8b/icrm-10-3822-g002.jpg

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本文引用的文献

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Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation.智能手表在心房颤动检测和量化中的性能。
Circ Arrhythm Electrophysiol. 2019 Jun;12(6):e006834. doi: 10.1161/CIRCEP.118.006834.
2
Assessing Accuracy of Wrist-Worn Wearable Devices in Measurement of Paroxysmal Supraventricular Tachycardia Heart Rate.评估腕戴式可穿戴设备测量阵发性室上性心动过速心率的准确性。
Korean Circ J. 2019 May;49(5):437-445. doi: 10.4070/kcj.2018.0323. Epub 2019 Feb 11.
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Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study.
J Innov Card Rhythm Manag. 2019 Sep 15;10(9):3800-3801. doi: 10.19102/icrm.2019.100909. eCollection 2019 Sep.
基于应用程序的大型研究,使用智能手表识别心律失常的原理和设计:Apple Heart Study。
Am Heart J. 2019 Jan;207:66-75. doi: 10.1016/j.ahj.2018.09.002. Epub 2018 Sep 8.
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Smartwatch Algorithm for Automated Detection of Atrial Fibrillation.智能手表算法自动检测心房颤动。
J Am Coll Cardiol. 2018 May 29;71(21):2381-2388. doi: 10.1016/j.jacc.2018.03.003. Epub 2018 Mar 10.
5
Wireless Smartphone ECG Enables Large-Scale Screening in Diverse Populations.无线智能手机心电图可实现对不同人群的大规模筛查。
J Cardiovasc Electrophysiol. 2015 May;26(5):520-6. doi: 10.1111/jce.12634. Epub 2015 Mar 19.