Population-based beat-to-beat QT analysis from Holter recordings in the long QT syndrome.

Population-based beat-to-beat QT analysis from Holter recordings in the long QT syndrome.
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DOI:
10.1016/j.jelectrocard.2017.08.008
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发表时间:
2017-11
影响因子:
1.3
通讯作者:
Couderc JP
Couderc JP
中科院分区:
医学4区
文献类型:
--
作者:
Page A;McNitt S;Xia X;Zareba W;Couderc JP

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可穿戴ECG记录仪(例如,霍尔特、贴片和带式传感器)的日益普及使得能够在长时间段内采集大量数据。然而,这些长期连续记录的临床价值受到缺乏自动工具的阻碍,无法从这些长期数据中提取临床相关信息(非窦性心律和危及生命的心律除外),特别是在针对基于人群的研究时。在这项工作中,我们提出并测试了一种新的工具,用于分析心跳到心跳的间隔测量和提取功能的霍尔特心电图。具体而言,我们评估了主要长QT类型心率突然变化后QT间期的适应性(1和2)。我们发现,在长QT综合征2型,某些QT适应模式可以表明心脏事件的风险较高。
The increasing dissemination of wearable ECG recorders (e.g. Holter, patches, and strap sensors) enables the acquisition of large amounts of data during long periods of time. However, the clinical value of these long-term continuous recordings is hindered by the lack of automatic tools to extract clinically relevant information (other than non-sinus and life-threatening rhythms) from such long-term data, particularly when targeting population-based research. In this work, we propose and test a new tool for analyzing beat-to-beat interval measurements and extracting features from Holter ECGs. Specifically, we assess the adaptation of the QT interval following sudden changes in heart rate in the primary long QT types (1 & 2). We find that in long QT syndrome type 2, certain QT adaptation patterns can indicate a higher risk for cardiac events.
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发表时间: 2003-03-01
影响因子: 2.7
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