• 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

RR间期与JT间期关系可视化的新方法。

New approach for visualization of relationships between RR and JT intervals.

作者信息

Ziaukas Pranas, Alabdulgader Abdullah, Vainoras Alfonsas, Navickas Zenonas, Ragulskis Minvydas

机构信息

Research Group for Mathematical and Numerical Analysis of Dynamical Systems, Kaunas University of Technology, Kaunas, Lithuania.

Prince Sultan Cardiac Center, Al Hasa, Al Hofuf, Saudi Arabia.

出版信息

PLoS One. 2017 Apr 5;12(4):e0174279. doi: 10.1371/journal.pone.0174279. eCollection 2017.

DOI:10.1371/journal.pone.0174279
PMID:28379976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5381794/
Abstract

This paper presents the concept of perfect matrices of Lagrange differences which are used to analyze relationships between RR and JT intervals during the bicycle ergometry exercise. The concept of the perfect matrix of Lagrange differences, its parameters, the construction of the load function and the corresponding optimization problem, the introduction of internal and external smoothing, embedding of the scalar parameter time series into the phase plane-all these computational techniques allow visualization of complex dynamical processes taking place in the cardiovascular system during the load and the recovery processes. Detailed analysis is performed with one person's RR and JT records only-but the presented techniques open new possibilities for novel interpretation of the dynamics of the cardiovascular system.

摘要

本文提出了拉格朗日差分完美矩阵的概念,该矩阵用于分析自行车测力计运动期间RR间期与JT间期之间的关系。拉格朗日差分完美矩阵的概念、其参数、负荷函数的构建以及相应的优化问题、内部和外部平滑的引入、标量参数时间序列在相平面中的嵌入——所有这些计算技术都能使负荷和恢复过程中心血管系统内发生的复杂动态过程可视化。仅对一个人的RR和JT记录进行了详细分析——但所提出的技术为心血管系统动力学的新解释开辟了新的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/da39561319e9/pone.0174279.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/9101a70c60b7/pone.0174279.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/874f0ea21e0d/pone.0174279.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/fb7f60d644f7/pone.0174279.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/973c5cee9cb2/pone.0174279.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/f7e11586ee8a/pone.0174279.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/206d507c5293/pone.0174279.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/9ae3fe415559/pone.0174279.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/10738b715d02/pone.0174279.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/da39561319e9/pone.0174279.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/9101a70c60b7/pone.0174279.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/874f0ea21e0d/pone.0174279.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/fb7f60d644f7/pone.0174279.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/973c5cee9cb2/pone.0174279.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/f7e11586ee8a/pone.0174279.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/206d507c5293/pone.0174279.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/9ae3fe415559/pone.0174279.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/10738b715d02/pone.0174279.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e079/5381794/da39561319e9/pone.0174279.g009.jpg

相似文献

1
New approach for visualization of relationships between RR and JT intervals.RR间期与JT间期关系可视化的新方法。
PLoS One. 2017 Apr 5;12(4):e0174279. doi: 10.1371/journal.pone.0174279. eCollection 2017.
2
Assessment of functional conditions of basketball and football players during the load by applying the model of integrated evaluation.运用综合评价模型评估篮球和足球运动员在负荷下的功能状况。
Medicina (Kaunas). 2010;46(6):421-8.
3
Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation.电刺激耳迷走神经时心血管系统复杂过程的可视化
Diagnostics (Basel). 2021 Nov 25;11(12):2190. doi: 10.3390/diagnostics11122190.
4
Functional and mental working abilities for female after physical load.
Medicina (Kaunas). 2005;41(9):767-73.
5
Mobilization of cardiovascular function during the constant-load and all-out exercise tests.恒负荷和全力运动测试期间心血管功能的动员
Medicina (Kaunas). 2005;41(12):1048-53.
6
The influence of aerobics exercise to cardiovascular functional parameters of 30-40 year old women.有氧运动对30至40岁女性心血管功能参数的影响。
Medicina (Kaunas). 2004;40(5):451-8.
7
Validation of Heart Rate Monitor Polar RS800 for Heart Rate Variability Analysis During Exercise.心率监测器 Polar RS800 在运动中心率变异性分析的验证。
J Strength Cond Res. 2018 Mar;32(3):716-725. doi: 10.1519/JSC.0000000000001662.
8
Early Diagnosis of Problems Related to the Self-Organization of the Cardiovascular System Based on the Interplay between RR and JT Cardiac Intervals.基于RR与JT心动周期相互作用的心血管系统自组织相关问题的早期诊断
Diagnostics (Basel). 2024 Jul 2;14(13):1410. doi: 10.3390/diagnostics14131410.
9
Detection of Atrial Fibrillation Episodes based on 3D Algebraic Relationships between Cardiac Intervals.基于心脏间期三维代数关系检测房颤发作
Diagnostics (Basel). 2022 Nov 23;12(12):2919. doi: 10.3390/diagnostics12122919.
10
Non-linear dynamics of cardiac autonomic activity during cycling exercise with varied cadence.不同踏频的骑行运动中心脏自主神经活动的非线性动力学
Hum Mov Sci. 2018 Aug;60:225-233. doi: 10.1016/j.humov.2018.06.013. Epub 2018 Jul 20.

引用本文的文献

1
Advanced ECG Analysis to Evaluate Multimodal Exercise Effects on Cardiovascular Health.高级心电图分析以评估多模式运动对心血管健康的影响。
Medicina (Kaunas). 2025 Mar 7;61(3):473. doi: 10.3390/medicina61030473.
2
Early Diagnosis of Problems Related to the Self-Organization of the Cardiovascular System Based on the Interplay between RR and JT Cardiac Intervals.基于RR与JT心动周期相互作用的心血管系统自组织相关问题的早期诊断
Diagnostics (Basel). 2024 Jul 2;14(13):1410. doi: 10.3390/diagnostics14131410.
3
Multiscale Cumulative Residual Dispersion Entropy with Applications to Cardiovascular Signals.

本文引用的文献

1
Heart Rate-Corrected QT and JT Intervals in Electrocardiograms in Physically Fit Students and Student Athletes.身体健康的学生和学生运动员心电图中的心率校正QT和JT间期
Ann Noninvasive Electrocardiol. 2016 Nov;21(6):595-603. doi: 10.1111/anec.12374. Epub 2016 May 19.
2
Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals.生物电信号中动态流形上时间序列分析的流形学习框架的扩展。
Phys Rev E. 2016 Apr;93(4):042218. doi: 10.1103/PhysRevE.93.042218. Epub 2016 Apr 29.
3
Cardiac Time Intervals by Tissue Doppler Imaging M-Mode: Normal Values and Association with Established Echocardiographic and Invasive Measures of Systolic and Diastolic Function.
多尺度累积剩余散度熵及其在心血管信号中的应用
Entropy (Basel). 2023 Nov 20;25(11):1562. doi: 10.3390/e25111562.
4
Auditory rhythm complexity affects cardiac dynamics in perception and synchronization.听觉节奏复杂度会影响感知和同步中的心脏动力学。
PLoS One. 2023 Nov 17;18(11):e0293882. doi: 10.1371/journal.pone.0293882. eCollection 2023.
5
Detection of Atrial Fibrillation Episodes based on 3D Algebraic Relationships between Cardiac Intervals.基于心脏间期三维代数关系检测房颤发作
Diagnostics (Basel). 2022 Nov 23;12(12):2919. doi: 10.3390/diagnostics12122919.
6
The Complexity of the Arterial Blood Pressure Regulation during the Stress Test.应激试验期间动脉血压调节的复杂性
Diagnostics (Basel). 2022 May 18;12(5):1256. doi: 10.3390/diagnostics12051256.
7
Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation.电刺激耳迷走神经时心血管系统复杂过程的可视化
Diagnostics (Basel). 2021 Nov 25;11(12):2190. doi: 10.3390/diagnostics11122190.
8
The characterization of the transit through the anaerobic threshold based on relationships between RR and QRS cardiac intervals.基于 RR 和 QRS 心拍间期的关系对通过无氧阈时的特征进行描述。
PLoS One. 2019 May 15;14(5):e0216938. doi: 10.1371/journal.pone.0216938. eCollection 2019.
组织多普勒成像M型测量的心脏时间间期:正常值及其与已确立的收缩和舒张功能超声心动图及侵入性测量指标的相关性
PLoS One. 2016 Apr 19;11(4):e0153636. doi: 10.1371/journal.pone.0153636. eCollection 2016.
4
The Path to Exhaustion: Time-Variability Properties of Coordinative Variables during Continuous Exercise.疲劳之路:持续运动期间协调变量的时间变异性特征
Front Physiol. 2016 Feb 15;7:37. doi: 10.3389/fphys.2016.00037. eCollection 2016.
5
Multiscale Poincaré plots for visualizing the structure of heartbeat time series.用于可视化心跳时间序列结构的多尺度庞加莱图。
BMC Med Inform Decis Mak. 2016 Feb 9;16:17. doi: 10.1186/s12911-016-0252-0.
6
What is Optimum Variability?
Nonlinear Dynamics Psychol Life Sci. 2015 Oct;19(4):553-68.
7
The allometric model in chronic myocardial infarction.慢性心肌梗死中的异速生长模型。
Theor Biol Med Model. 2012 May 11;9:15. doi: 10.1186/1742-4682-9-15.
8
Unexpected course of nonlinear cardiac interbeat interval dynamics during childhood and adolescence.儿童和青少年时期非线性心搏间期动力学的意外过程。
PLoS One. 2011;6(5):e19400. doi: 10.1371/journal.pone.0019400. Epub 2011 May 20.
9
QT interval: how to measure it and what is "normal".QT间期:如何测量以及何为“正常”。
J Cardiovasc Electrophysiol. 2006 Mar;17(3):333-6. doi: 10.1111/j.1540-8167.2006.00408.x.
10
Dietary linolenic acid and adjusted QT and JT intervals in the National Heart, Lung, and Blood Institute Family Heart study.在国立心肺血液研究所家族心脏研究中膳食亚麻酸与校正QT和JT间期的关系
J Am Coll Cardiol. 2005 May 17;45(10):1716-22. doi: 10.1016/j.jacc.2005.01.060.