Photoplethysmography based atrial fibrillation detection: a continually growing field.

IF 2.3 4区医学 Q3 BIOPHYSICS

Physiological measurement Pub Date : 2024-04-17 DOI:10.1088/1361-6579/ad37ee

Cheng Ding, Ran Xiao, Weijia Wang, Elizabeth Holdsworth, Xiao Hu

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引用次数: 0

Abstract

Objective. Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant health ramifications, including an elevated susceptibility to ischemic stroke, heart disease, and heightened mortality. Photoplethysmography (PPG) has emerged as a promising technology for continuous AF monitoring for its cost-effectiveness and widespread integration into wearable devices. Our team previously conducted an exhaustive review on PPG-based AF detection before June 2019. However, since then, more advanced technologies have emerged in this field.Approach. This paper offers a comprehensive review of the latest advancements in PPG-based AF detection, utilizing digital health and artificial intelligence (AI) solutions, within the timeframe spanning from July 2019 to December 2022. Through extensive exploration of scientific databases, we have identified 57 pertinent studies.Significance. Our comprehensive review encompasses an in-depth assessment of the statistical methodologies, traditional machine learning techniques, and deep learning approaches employed in these studies. In addition, we address the challenges encountered in the domain of PPG-based AF detection. Furthermore, we maintain a dedicated website to curate the latest research in this area, with regular updates on a regular basis.

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基于血压计的心房颤动检测：一个不断发展的领域。

心房颤动（房颤）是一种普遍存在的心律失常，对健康有重大影响，包括容易引发缺血性中风、心脏病和死亡率升高。光电血压计（PPG）因其成本效益高、可广泛集成到可穿戴设备中而成为一种有前途的连续房颤监测技术。我们的团队曾在 2019 年 6 月之前对基于 PPG 的房颤检测进行了详尽的回顾。然而，从那时起，该领域出现了更多先进技术。本文利用数字健康和人工智能（AI）解决方案，对 2019 年 7 月至 2022 年 12 月期间基于 PPG 的房颤检测领域的最新进展进行了全面综述。通过对科学数据库的广泛探索，我们确定了 57 项相关研究。我们的全面综述包括对这些研究中采用的统计方法、传统机器学习技术和深度学习方法的深入评估。此外，我们还探讨了在基于 PPG 的房颤检测领域遇到的挑战。此外，我们还维护了一个专门的网站，定期更新该领域的最新研究成果。

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

Physiological measurement 生物-工程：生物医学

CiteScore

5.50

自引率

9.40%

发文量

124

审稿时长

3 months

期刊介绍： Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.

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