基于奇异值分解熵的心率变异性分析

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.     

运动训练对心率变异的影响

[目的]探讨运动对HRV的影响.[方法]运用MCA-3C心脏综合信息检测仪,分别对采集的512个心电信号的时域参数和频域参数进行心率变异(HRV)分析.[结果]运动训练使P50、SD、HF.H、脉压和R-R间期显著提高P<0.05;心率显著降低P<0.05;TP、LF.H、LF.A等参数值增加;LF.S、HF.A、HFS及LF/HF无显著差异,P>0.05.[结论]运动训练使HRV的时域参数显著增加.