短期心率变异性的复杂性。

Jose F Valencia, Montserrat Vallverdú, Rico Schroeder, Andreas Voss, Rafael Vázquez, Antonio Bayés de Luna, Pere Caminal
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引用次数: 21

摘要

本研究提出了一种基于熵率概念的方法来研究短期心率变异性(HRV)的复杂性,以改进风险分层来预测缺血性扩张型心肌病(IDC)患者的心源性猝死(SCD)。采用RR序列分析白天和夜间的短期HRV。在RR序列上计算熵率,该序列先前通过字母表转换为符号序列。统计分析允许对患有SCD的高风险和低风险患者进行分层,特异性(SP)为95%,敏感性(SE)为83.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complexity of the short-term heart-rate variability.

This work has proposed a methodology based on the concept of entropy rates to study the complexity of the short-term heart-rate variability (HRV) for improving risk stratification to predict sudden cardiac death (SCD) of patients with established ischemic-dilated cardiomyopathy (IDC). The short-term HRV was analyzed during daytime and nighttime by means of RR series. An entropy rate was calculated on the RR series, previously transformed to symbol sequences by means of an alphabet. A statistical analysis permitted to stratify high- and low-risk patients of suffering SCD, with a specificity (SP) of 95% and sensitivity (SE) of 83.3%.

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来源期刊
IEEE Engineering in Medicine and Biology Magazine
IEEE Engineering in Medicine and Biology Magazine 工程技术-工程:生物医学
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