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基于腕部光电容积脉搏波描记法的可穿戴设备进行房颤监测:最新综述

Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review.

作者信息

Eerikäinen Linda M, Bonomi Alberto G, Dekker Lukas R C, Vullings Rik, Aarts Ronald M

机构信息

Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, The Netherlands.

Philips Research, Department of Patient Care and Measurements, Eindhoven, The Netherlands.

出版信息

Cardiovasc Digit Health J. 2020 Aug 26;1(1):45-51. doi: 10.1016/j.cvdhj.2020.03.001. eCollection 2020 Jul-Aug.

Abstract

Early detection and diagnosis of atrial fibrillation (AF) is essential in order to prevent stroke and other severe health consequences. The challenges in diagnosing AF arise from its intermittent and asymptomatic nature. Wrist-worn devices that use monitoring based on photoplethysmography have been proposed recently as a possible solution because of their ability to monitor heart rate and rhythm for long periods of time at low cost. Long-term continuous monitoring with implantable devices has been shown to increase the percentage of detected AF episodes, but the additional value of wrist-worn devices has yet to be determined. In this review, we present the state of the art in AF detection with wrist-worn devices, discuss the potential of the technology and current knowledge gaps, and propose directions for future research. The state-of-the-art methods show excellent accuracy for AF detection. However, most of the studies were conducted in hospital settings, and more studies showing the accuracy of the technology for ambulatory long-term monitoring are needed. Objective comparison of results and methodologies among different studies currently is difficult due to the lack of adequate public datasets.

摘要

房颤(AF)的早期检测和诊断对于预防中风及其他严重健康后果至关重要。房颤诊断面临的挑战源于其间歇性和无症状性。基于光电容积脉搏波描记法进行监测的腕戴式设备最近被提议作为一种可能的解决方案,因为它们能够以低成本长时间监测心率和心律。长期使用植入式设备进行连续监测已被证明可提高房颤发作的检测率,但腕戴式设备的附加价值尚未确定。在本综述中,我们介绍了腕戴式设备在房颤检测方面的最新技术水平,讨论了该技术的潜力和当前的知识空白,并提出了未来研究的方向。目前的先进方法在房颤检测方面显示出优异的准确性。然而,大多数研究是在医院环境中进行的,需要更多研究来证明该技术在动态长期监测中的准确性。由于缺乏足够的公共数据集,目前不同研究之间的结果和方法难以进行客观比较。

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