中文摘要：

估计心率变化的动力学能关于心地位提供珍贵信息。在这研究，用单个价值分解熵(SvdEn ) 的概念的心失败病人和健康的人的心率可变性(HRV ) 的整齐被分析。SvdEn 用规范的单个价值从时间数列，时间序列被计算。这个方法的优点是它的简洁和快计算。它启用很短、非静止的数据集的分析。结果证明有充血的心失败(CHF ) 的病人的 SvdEn 显示出低价值(SvdEn：0.056 ± 0.006， p 【 0.01 ) 它能完全与健康题目被分开。另外，在白天和晚上之间的 SvdEn 价值的差别被作出对有利的裁决健康的组。SvdEn 与年龄减少。越多降低 SvdEn 价值，越 higher 心疾病的风险。而且， SvdEn 与心节奏的精力被联系。结果证明为为临床的应用处于不同生理的状态区别 HRV 的那使用的 SvdEn 可行、简单。

英文摘要：

Assessing the dynamics of heart rate fluctuations can provide valuable information about heart status. In this study, regularity of heart rate variability （HRV） of heart failure patients and healthy persons using the concept of singular value decomposition entropy （SvdEn） is analyzed. SvdEn is calculated from the time series using normalized singular values. The advantage of this method is its simplicity and fast computation. It enables analysis of very short and non-stationary data sets. The results show that SvdEn of patients with congestive heart failure （CHF） shows a low value （SvdEn： 0.056±0.006, p 〈 0.01） which can be completely separated from healthy subjects. In addition, differences of SvdEn values between day and night are found for the healthy groups. SvdEn decreases with age. The lower the SvdEn values, the higher the risk of heart disease. Moreover, SvdEn is associated with the energy of heart rhythm. The results show that using SvdEn for discriminating HRV in different physiological states for clinical applications is feasible and simple.