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Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

机译：基于ECG信号的电脑辅助诊断心房颤动：综述

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摘要

Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated with a chaotic, and frequently fast, heartbeat. Moreover, AF increases the risk of cardioembolic stroke and other heart-related problems such as heart failure. Thus, it is necessary to screen for AF and receive proper treatment before the condition progresses. To date, electrocardiogram (ECG) feature analysis is the gold standard for the diagnosis of AF. However, because it is time-varying, AF ECG signals are difficult to interpret. The ECG signals are often contaminated with noise. Further, manual interpretation of ECG signals may be subjective, time-consuming, and susceptible to inter-observer variabilities. Various computer-aided diagnosis (CADx) methods have been proposed to remedy these shortcomings. In this paper, different CADx systems developed by researchers are discussed. Also, the potentials of the CADx system are highlighted. (C) 2018 Elsevier Inc. All rights reserved.
机译：心律失常是一种影响心跳的模式和速率的无序。在各种心律失常条件中，心房颤动（AF）是最普遍的。 AF与混乱，经常快速，心跳相关联。此外，AF增加了心脏栓塞中风的风险和心力衰竭等其他心脏病相关问题。因此，在条件进展之前，有必要筛选AF并接受适当的处理。迄今为止，心电图（ECG）特征分析是AF诊断的金标准。然而，因为它是时变的，因为AF ECG信号很难解释。 ECG信号通常被噪声污染。此外，对ECG信号的手动解释可以是主观的，耗时的，并且易受观察者间变形性的影响。已经提出了各种计算机辅助诊断（CADX）方法来弥补这些缺点。在本文中，讨论了研究人员开发的不同CADX系统。此外，突出显示了CADX系统的潜力。 （c）2018年Elsevier Inc.保留所有权利。

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