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A Novel Approach for QRS Complex Detection in Patients with Atrial Arrhythmia

机译:心理心律失常患者QRS复杂检测的一种新方法

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Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world which shows rising prevalence leading to increased comorbidities, such as, Ischemic heart disease and Stroke that the main cause of deaths in the world. Since AF and most of the arrhythmias are generated due to electrical problems at the heart, electrocardiography provides the best noninvasive method to diagnose and QRS complex play an important role as a benchmark. In this paper, a novel methodology for QRS complex detection is presented. The algorithm introduces a modification of the well known Pan Tompkins approach, performing a multi channel detection, based on the signal to noise ratio of every channel. After application of the squaring operation in the channels with the highest signal to noise ratio a new single channel is created with improved quality, allowing the accurate detection of the QRS complexes in signals with atrial arrhythmias. The approach was tested in electrocardiography records from the Hospital Universitario de Valencia in Spain, showing an average positive predictive value of 99.6% and an average sensitivity of 99.9%.
机译:心房颤动(AF)是世界上最常见的心律失常,其表现出普遍存在的普遍性,导致缺血性心脏病,如缺血性心脏病和中风,即世界死亡的主要原因。由于由于心脏问题产生了AF和大部分心律失常,心电图提供了最佳的诊断方法,并且QRS复合体发挥重要作用作为基准。本文介绍了QRS复杂检测的新方法。该算法介绍了众所周知的PAN TOMPKINS方法的修改,基于每个信道的信噪比执行多通道检测。在使用最高信噪比的通道中施加平方操作之后,通过提高质量产生新的单通道,允许在具有心间心律失常的信号中准确地检测QRS复合物。该方法在西班牙瓦伦西亚院达瓦伦西亚医院的心电图记录中进行了测试,平均阳性预测值为99.6%,平均敏感性为99.9%。

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