简单而有效的信号处理,精确定位从增加体力劳动推断的微妙的室性早搏

Aníbal J. S. Ferreira
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摘要

室性早搏(PVC)或室性早搏是一种心律失常,在普通人群中很常见,尤其是在运动员或经常运动的人群中。当其发生率较低(约0.5%)时,PVC可能无症状且无临床相关性;当其发生率较高(约10%或以上)时,PVC可能有症状且有临床相关性。心电图分析与心脏负荷试验是重要的检测和表征PVC和诊断心脏状况和手术。在本文中,我们描述并测试了一种简单的信号处理方法,该方法可用于有效地查明各种物理努力条件下细微的PVC发生。在这方面,我们讨论了i)将PVC归类为良性需要满足的三个重要条件,ii)心脏压力测试和ECG数据收集的设计和实现,iii)从检测到的PVC事件中分析和提取信息的算法,以及iv)我们提出并讨论了获得的结果,并总结了它们的意义。
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Simple and effective signal processing pinpointing subtle premature ventricular contractions inferred from increasing physical effort
Premature ventricular contractions (PVC), or extrasystoles, represent a type of cardiac arrhythmia that is common among the general population and, notably, among athletes or individuals who exercise frequently. PVC may be asymptomatic and not clinically relevant when their rate is low, up to around 0.5%, or may be symptomatic and clinically relevant when it is high, in the order of or above 10%. ECG analysis in association with a cardiac stress test is important to detect and characterize PVC and to diagnose the heart condition and operation. In this paper, we describe and test a simple signal processing approach that can be used to effectively pinpoint subtle PVC occurrences in various physical effort conditions. In this regard, we discuss i) three important conditions to be met such that PVC are categorized as benign, ii) the design and implementation of a cardiac stress test and ECG data collection, iii) the algorithm analyzing and extracting information from the detected PVC occurrences, and iv) we present and discuss the obtained results, and conclude on their significance.
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