Suppr超能文献

通过对心率变异性参数的心率和年龄依赖性进行比较分析揭示的典型心率变异性参数之间的主要联系。

Principal Connection Between Typical Heart Rate Variability Parameters as Revealed by a Comparative Analysis of Their Heart Rate and Age Dependence.

作者信息

Búzás András, Sonkodi Balázs, Dér András

机构信息

Institute of Biophysics, HUN-REN Biological Research Center, 6701 Szeged, Hungary.

Department of Health and Sports Medicine, Hungarian University of Sports Sciences, 1123 Budapest, Hungary.

出版信息

Entropy (Basel). 2025 Jul 25;27(8):792. doi: 10.3390/e27080792.

Abstract

Heart rate (HR) is strongly affected by the autonomic nervous system (ANS), while its spontaneous fluctuations, called heart rate variability (HRV), report about the dynamics of the complex, vegetative regulation of the heart rhythm. Hence, HRV is widely considered an important marker of the ANS effects on the cardiac system, and as such, a crucial diagnostic tool in cardiology. In order to obtain nontrivial results from HRV analysis, it would be desirable to establish exact, universal interrelations between the typical HRV parameters and HR itself. That, however, has not yet been fully accomplished. Hence, our aim was to perform a comparative statistical analysis of ECG recordings from a public database, with a focus on the HR dependence of typical HRV parameters. We revealed their fundamental connections, which were substantiated by basic mathematical considerations, and were experimentally demonstrated via the analysis of 24 h of ECG recordings of more than 200 healthy individuals. The large database allowed us to perform unique age-cohort analyses. We confirmed the HR dependence of typical time-domain parameters, such as RMSSD and SDNN, frequency-domain parameters such as the VLF, LF, and HF components, and nonlinear indices such as sample entropy and DFA exponents. In addition to shedding light on their relationship, we are the first, to our knowledge, to identify a new, diffuse structure in the VHF regime as an important indicator of SNS activity. In addition, the demonstrated age dependence of the HRV parameters gives important new insight into the long-term changes in the ANS regulation of the cardiac system. As a possible molecular physiological mechanism underlying our new findings, we suggest that they are associated with Piezo2 channel function and its age-related degradation. We expect our results to be utilized in HRV analysis related to both medical research and practice.

摘要

心率(HR)受自主神经系统(ANS)的强烈影响,而其自发波动,即心率变异性(HRV),反映了心脏节律复杂的自主调节动态。因此,HRV被广泛认为是ANS对心脏系统影响的重要标志物,也是心脏病学中至关重要的诊断工具。为了从HRV分析中获得有意义的结果,建立典型HRV参数与HR本身之间准确、通用的相互关系将是很有必要的。然而,这一点尚未完全实现。因此,我们的目标是对一个公共数据库中的心电图记录进行比较统计分析,重点关注典型HRV参数对HR的依赖性。我们揭示了它们的基本联系,这些联系通过基本的数学考量得到证实,并通过对200多名健康个体的24小时心电图记录分析进行了实验验证。这个大型数据库使我们能够进行独特的年龄队列分析。我们证实了典型时域参数(如RMSSD和SDNN)、频域参数(如VLF、LF和HF成分)以及非线性指标(如样本熵和DFA指数)对HR的依赖性。除了阐明它们之间的关系外,据我们所知,我们首次在甚高频(VHF)范围内识别出一种新的弥散结构,作为交感神经系统(SNS)活动的重要指标。此外,所证明的HRV参数的年龄依赖性为心脏系统ANS调节的长期变化提供了重要的新见解。作为我们新发现背后可能的分子生理机制,我们认为它们与Piezo2通道功能及其与年龄相关的退化有关。我们期望我们的结果能应用于与医学研究和实践相关的HRV分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba5d/12385741/98f3cc1bd757/entropy-27-00792-g007.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验