心率动态预测接受动态心电图监测的非住院患者2年死亡风险

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI:10.1109/ESGCO.2014.6847533

L. Carozzi, M. Carrara, Travis J Moss, S. Cerutti, M. Ferrario, D. Lake, J. Moorman

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引用次数: 1

摘要

心律异常如心房颤动(AF)、心房或心室异位和心率变异性降低(HRV)与死亡风险增加相关。这些改变的动力学特性可能对估计死亡风险有用。在这项工作中，使用2种基于熵的动态测量方法，即样本熵系数(COSEn)和局部动态评分(ld)，对弗吉尼亚大学(UVa) Holter数据库进行了死亡风险分层分析。

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Heart rate dynamics predict 2-year mortality risk in ambulatory patients undergoing Holter monitoring

Heart rhythm abnormalities such as atrial fibrillation (AF), atrial or ventricular ectopy and reduced heart rate variability (HRV) are associated with an increased risk of mortality. These altered dynamical properties might be useful in estimating the risk of death. In this work, a mortality risk stratification analysis was performed on the University of Virginia (UVa) Holter database using 2 entropy-based dynamical measures, Coefficient of Sample entropy (COSEn) and Local Dynamic Score (LDs).

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2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)

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