Zhao Lina, Li Peng, Li Jianqing, Liu Chengyu
The State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Entropy (Basel). 2021 May 22;23(6):648. doi: 10.3390/e23060648.
The analysis of heart rate variability (HRV) plays a dominant role in the study of physiological signal variability. HRV reflects the information of the adjustment of sympathetic and parasympathetic nerves on the cardiovascular system and, thus, is widely used to evaluate the functional status of the cardiovascular system. Ectopic beats may affect the analysis of HRV. However, the quantitative relationship between the burden of ectopic beats and HRV indices, including entropy measures, has not yet been investigated in depth. In this work, we analyzed the effects of different numbers of ectopic beats on several widely accepted HRV parameters in time-domain (SDNN), frequency-domain (LF/HF), as well as non-linear features (SampEn and Pt-SampEn (physical threshold-based SampEn)). The results showed that all four indices were influenced by ectopic beats, and the degree of influence was roughly increased with the increase of the number of ectopic beats. Ectopic beats had the greatest impact on the frequency domain index LF/HF, whereas the Pt-SampEn was minimally accepted by ectopic beats. These results also indicated that, compared with the other three indices, Pt-SampEn had better robustness for ectopic beats.
心率变异性（HRV）分析在生理信号变异性研究中起着主导作用。HRV反映了交感神经和副交感神经对心血管系统调节的信息，因此被广泛用于评估心血管系统的功能状态。异位搏动可能会影响HRV分析。然而，异位搏动负担与HRV指标（包括熵测度）之间的定量关系尚未得到深入研究。在这项工作中，我们分析了不同数量的异位搏动对时域（SDNN）、频域（LF/HF）以及非线性特征（样本熵和基于物理阈值的样本熵（Pt-SampEn））等几个广泛接受的HRV参数的影响。结果表明，所有四个指标均受异位搏动影响，且影响程度大致随异位搏动数量的增加而增大。异位搏动对频域指标LF/HF影响最大，而Pt-SampEn受异位搏动的影响最小。这些结果还表明，与其他三个指标相比，Pt-SampEn对异位搏动具有更好的稳健性。
