| 基于奇异值分解熵的心率变异性分析 |
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| 引用本文： | 李世阳,杨明,李存岑,蔡萍.基于奇异值分解熵的心率变异性分析[J].上海大学学报(英文版),2008,12(5):433-437. |
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| 作者姓名： | 李世阳 杨明 李存岑 蔡萍 |
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| 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.
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| 关 键 词： | 奇异值 分解熵 心率变异性 分析方法 |
| 收稿时间： | 2007-06-01 |
| 修稿时间： | 2007-06-25 |
Analysis of heart rate variability based on singular value decomposition entropy |
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| Shi-yang Li,Ming Yang,Cun-cen Li,Ping Cai.Analysis of heart rate variability based on singular value decomposition entropy[J].Journal of Shanghai University(English Edition),2008,12(5):433-437. |
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| Authors: | Shi-yang Li Ming Yang Cun-cen Li Ping Cai |
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| Institution: | Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China |
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| Abstract: | 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 5= 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. |
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| Keywords: | heart rate variability (HRV) singular value decomposition (SVD) entropy congestive heart failure (CHF) |
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