• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

扩张型心肌病中心率与血压的短期和长期联合符号动力学

Short- and long-term joint symbolic dynamics of heart rate and blood pressure in dilated cardiomyopathy.

作者信息

Baumert Mathias, Baier Vico, Truebner Sandra, Schirdewan Alexander, Voss Andreas

机构信息

Department of Medical Engineering, University of Applied Sciences Jena, 07745 Jena, Germany.

出版信息

IEEE Trans Biomed Eng. 2005 Dec;52(12):2112-5. doi: 10.1109/TBME.2005.857636.

DOI:10.1109/TBME.2005.857636
PMID:16366235
Abstract

Autonomic cardiovascular control involves complex interactions of heart rate and blood pressure. In patients with dilated cardiomyopathy (DCM), this control is impaired and parameters for its quantification might be of prognostic importance. In this paper, we introduce methods based on joint symbolic dynamics (JSD) for the enhanced analysis of heart rate and blood pressure interactions. To assess the coarse-grained dynamics beat-to-beat changes of heart rate and blood pressure are encoded in symbol strings. Subsequently, the distribution properties of short symbol sequences (words) as well as the scaling properties of the whole symbol string are assessed. The comparison of joint symbolic heart rate and blood pressure dynamics in DCM (n = 75) with those in healthy controls (n = 75) showed significant changes. Both, the distribution of words and the scaling properties indicate a loss in heart rate dynamics associated with blood pressure regulation in DCM. In conclusion, the analyses of short- and long-term JSDs provide insights into complex physiological heart rate and blood pressure interactions and furthermore reveal patho-physiological cardiovascular control in DCM.

摘要

自主心血管控制涉及心率和血压的复杂相互作用。在扩张型心肌病(DCM)患者中,这种控制受到损害,其量化参数可能具有预后重要性。在本文中,我们介绍了基于联合符号动力学(JSD)的方法,用于增强对心率和血压相互作用的分析。为了评估粗粒化动力学,逐搏的心率和血压变化被编码在符号串中。随后,评估短符号序列(词)的分布特性以及整个符号串的标度特性。对DCM患者(n = 75)和健康对照者(n = 75)的联合符号心率和血压动力学进行比较,结果显示有显著变化。词的分布和标度特性均表明,DCM患者在与血压调节相关的心率动力学方面存在缺失。总之,对短期和长期JSD的分析有助于深入了解复杂的生理心率和血压相互作用,并且进一步揭示DCM患者的病理生理心血管控制情况。

相似文献

1
Short- and long-term joint symbolic dynamics of heart rate and blood pressure in dilated cardiomyopathy.扩张型心肌病中心率与血压的短期和长期联合符号动力学
IEEE Trans Biomed Eng. 2005 Dec;52(12):2112-5. doi: 10.1109/TBME.2005.857636.
2
Comparison of nonlinear methods symbolic dynamics, detrended fluctuation, and Poincare plot analysis in risk stratification in patients with dilated cardiomyopathy.扩张型心肌病患者风险分层中非线性方法(符号动力学、去趋势波动分析和庞加莱图分析)的比较
Chaos. 2007 Mar;17(1):015120. doi: 10.1063/1.2404633.
3
Advanced analysis of spontaneous baroreflex sensitivity, blood pressure and heart rate variability in patients with dilated cardiomyopathy.扩张型心肌病患者自主压力反射敏感性、血压及心率变异性的高级分析
Clin Sci (Lond). 2002 Apr;102(4):465-73.
4
Hidden Markov models based on symbolic dynamics for statistical modeling of cardiovascular control in hypertensive pregnancy disorders.基于符号动力学的隐马尔可夫模型用于妊娠期高血压疾病心血管控制的统计建模
IEEE Trans Biomed Eng. 2006 Jan;53(1):140-3. doi: 10.1109/TBME.2005.859812.
5
Effect of benazepril on heart rate turbulence in patients with dilated cardiomyopathy.贝那普利对扩张型心肌病患者心率变异性的影响。
Clin Exp Pharmacol Physiol. 2007 Jul;34(7):612-6. doi: 10.1111/j.1440-1681.2007.04631.x.
6
Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis.在心率变异性分析方面,比较从连续血压和心电图中提取逐搏间期的三种方法。
Biomed Tech (Berl). 2006 Jul;51(2):70-6. doi: 10.1515/BMT.2006.013.
7
Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series.短期心跳间期、动脉血压和瞬时肺容积时间序列的多尺度分析。
Artif Intell Med. 2007 Nov;41(3):237-50. doi: 10.1016/j.artmed.2007.07.012. Epub 2007 Oct 22.
8
[Short-term heart rate turbulence analysis versus variability and baroreceptor sensitivity in patients with dilated cardiomyopathy].扩张型心肌病患者的短期心率震荡分析与变异性及压力感受器敏感性的对比
Z Kardiol. 2003 Jul;92(7):547-57. doi: 10.1007/s00392-003-0946-z.
9
Quantification of fetal heart rate regularity using symbolic dynamics.使用符号动力学对胎儿心率规律性进行量化。
Chaos. 2007 Mar;17(1):015119. doi: 10.1063/1.2431703.
10
Complexity of the short-term heart-rate variability.短期心率变异性的复杂性
IEEE Eng Med Biol Mag. 2009 Nov-Dec;28(6):72-8. doi: 10.1109/MEMB.2009.934621.

引用本文的文献

1
Relationship between the autonomic nervous system and cerebral autoregulation during controlled breathing.控制性呼吸过程中自主神经系统与脑自动调节之间的关系。
Eur J Appl Physiol. 2025 Aug 18. doi: 10.1007/s00421-025-05933-9.
2
Characterization of cardiac autonomic dysfunction in acute Schizophrenia: a cluster analysis of heart rate variability parameters.急性精神分裂症中心脏自主神经功能障碍的特征:心率变异性参数的聚类分析
Schizophrenia (Heidelb). 2025 Mar 8;11(1):40. doi: 10.1038/s41537-025-00589-y.
3
Relationship between the amplitudes of cerebral blood flow velocity and intracranial pressure using linear and non-linear approach.
使用线性和非线性方法研究脑血流速度与颅内压振幅之间的关系。
J Clin Monit Comput. 2025 Apr;39(2):301-313. doi: 10.1007/s10877-024-01243-1. Epub 2024 Dec 10.
4
Baroreflex activity through the analysis of the cardio-respiratory variability influence over blood pressure in cardiomyopathy patients.通过分析心肺变异性对心肌病患者血压的影响来研究压力反射活动。
Front Physiol. 2023 Aug 10;14:1184293. doi: 10.3389/fphys.2023.1184293. eCollection 2023.
5
Entropy Analysis of COVID-19 Cardiovascular Signals.新型冠状病毒肺炎心血管信号的熵分析
Entropy (Basel). 2021 Jan 9;23(1):87. doi: 10.3390/e23010087.
6
Risk Stratification in Idiopathic Dilated Cardiomyopathy Patients Using Cardiovascular Coupling Analysis.使用心血管耦合分析对特发性扩张型心肌病患者进行风险分层
Front Physiol. 2019 Jul 9;10:841. doi: 10.3389/fphys.2019.00841. eCollection 2019.
7
Reproducibility of Heart Rate Variability Characteristics Measured on Random 10-second ECG using Joint Symbolic Dynamics.使用联合符号动力学在随机10秒心电图上测量心率变异性特征的可重复性。
Comput Cardiol (2010). 2016 Sep;2016:289-292. doi: 10.23919/CIC.2016.7868736. Epub 2017 Mar 2.
8
Baroreflex Coupling Assessed by Cross-Compression Entropy.通过交叉压缩熵评估压力反射耦合。
Front Physiol. 2017 May 10;8:282. doi: 10.3389/fphys.2017.00282. eCollection 2017.
9
Dependency Structures in Differentially Coded Cardiovascular Time Series.差分编码心血管时间序列中的依赖结构
Comput Math Methods Med. 2017;2017:2082351. doi: 10.1155/2017/2082351. Epub 2017 Jan 3.
10
Assessment of Joint Interactions between Respiration and Baroreflex Activity using Joint Symbolic Dynamics in Heart Failure Patients.利用关节符号动力学评估心力衰竭患者呼吸与压力反射活动之间的关节相互作用
Comput Cardiol (2010). 2015 Sep;42:809-812. doi: 10.1109/CIC.2015.7411034.