A Novel Method for Real-Time Atrial Fibrillation Detection in Electrocardiograms Using Multiple Parameters
A Novel Method for Real-Time Atrial Fibrillation Detection in Electrocardiograms Using Multiple Parameters
复制标题
一种使用多个参数的心电图中实时心房颤动检测的新方法
DOI：
10.1111/anec.12111
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发表时间：
2014-05-01
影响因子：
1.9
通讯作者：
Chen, Xu
中科院分区：
文献类型：
--
作者：
Du, Xiaochuan;Rao, Nini;Chen, Xu
背景心电图（ECG）中心房颤动（AF）的自动检测有助于AF的诊断、治疗和管理。在这篇文章中，介绍了一种新的AF检测方法。大多数目前的方法只利用RR间隔作为一个关键参数来检测AF，因此，这些方法通常混淆AF与其他arrhythms.MethodsWe使用的平均数的f波在TQ间隔作为一个特征参数，在我们强大的，实时的AF检测方法。三种类型的临床心电图数据，包括ECG从正常，AF，和非AF心律失常的主题，从多个开放访问数据库下载，以验证所提出的方法。ResultsThe实验结果表明，该方法可以区分AF和正常ECG的准确性，灵敏度，和阳性预测值（PPV）分别为93.67%，94.13%和98.69%。这些值与相关方法的值相当。该方法也能够区分AF和非AF心律失常，并具有性能指标（准确性94.62%，灵敏度94.13%，和PPV 97.67%），这是相当好的比其他methods.ConclusionsOur提出的方法有前景作为一个实用的工具，使临床诊断，治疗和监测AF。
BackgroundAutomatic detection of atrial fibrillation (AF) in electrocardiograms (ECGs) is beneficial for AF diagnosis, therapy, and management. In this article, a novel method of AF detection is introduced. Most current methods only utilize the RR interval as a critical parameter to detect AF; thus, these methods commonly confuse AF with other arrhythmias.MethodsWe used the average number of f waves in a TQ interval as a characteristic parameter in our robust, real-time AF detection method. Three types of clinical ECG data, including ECGs from normal, AF, and non-AF arrhythmia subjects, were downloaded from multiple open access databases to validate the proposed method.ResultsThe experimental results suggested that the method could distinguish between AF and normal ECGs with accuracy, sensitivity, and positive predictive values (PPVs) of 93.67%, 94.13%, and 98.69%, respectively. These values are comparable to those of related methods. The method was also able to distinguish between AF and non-AF arrhythmias and had performance indexes (accuracy 94.62%, sensitivity 94.13%, and PPVs 97.67%) that were considerably better than those of other methods.ConclusionsOur proposed method has prospects as a practical tool enabling clinical diagnosis, treatment, and monitoring of AF.