Nonlinearity degree of short-term heart rate variability signal

BIAN Chunhua; NING Xinbao

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Nonlinearity degree of short-term heart rate variability signal

机译：短期心率变异性信号的非线性程度

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摘要

A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rale variability (HRV). A group of healthy persons are studied and the results indicate that this method can effectively get nonlinear information from short (6--7 min) heartbeat series and consequently reflect the degree of heart rate variability, which supplies convenience in clinical application. Finally, a comparison with the traditional time domain method shows that the NAR model method ean reflect the complexity of the whole signal and lessen the influence of noise and instability in the signal.

机译：建立了心跳间隔时间序列的非线性自回归（NAR）模型，并提出了最佳模型度来评估心律变异性（HRV）的非线性度。对一组健康人进行了研究，结果表明该方法可以有效地从短（6--7分钟）心跳序列中获取非线性信息，从而反映出心率变异性的程度，为临床应用提供了方便。最后，与传统时域方法的比较表明，NAR模型方法反映了整个信号的复杂性，并减少了噪声和信号不稳定的影响。

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来源
《Chinese science bulletin》 |2004年第5期|p.530-534|共5页
作者
BIAN Chunhua; NING Xinbao;
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作者单位

State Key Laboratory of Modern Acoustics, Institute for Biomedical Electronical Engineering, Nanjing University, Nanjing 210093, China;

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原文格式 PDF
正文语种 eng
中图分类自然科学现状及发展;
关键词
HRV; NAR model; nonlinearity degree; heartbeat interval time series;

机译：HRV;NAR模型;非线性度;心跳间隔时间序列;

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专利

1. Validity Test for a Set of Nonlinear Measures for Short Data Length with Reference to Short-Term Heart Rate Variability Signal [J] . REMZI SEKER, SOKOL SALIU, AHMET BIRAND Journal of Systems Integration . 2000,第1期

机译：参考短期心率变异性信号的一组短数据非线性测量的有效性测试
2. Investigation of altered heart rate variability, nonlinear properties of heart rate signals, and organ dysfunction longitudinally over time in intensive care unit patients. [J] . Papaioannou VE, Maglaveras N, Houvarda I, Journal of critical care . 2006,第1期

机译：重症监护病房患者随时间变化的心率变异性，心率信号的非线性特性和器官功能障碍的纵向调查。
3. Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states [J] . Chaos . 2019,第10a12期

机译：不同生理病理学状态下短期心率变异性评估非线性的方法的比较
4. Heart Rate and Heart Rate Variability as Classification Features for Mental Fatigue Using Short-Term PPG Signals Via Smartphones Instead of ECG Recordings [C] . Yaru Yue, Dongjie Liu, Shoudong Fu, International Conference on Communication Software and Networks . 2021

机译：心率和心率可变性作为心理疲劳的分类特征，使用短期PPG信号通过智能手机而不是心电图录制
5. An integrated signal processing environment for detection of sleep disordered breathing in children using spectral and nonlinear dynamic measures of heart rate variability signal. [D] . Chatlapalli, Surya Mala. 2005

机译：使用心率变异性信号的频谱和非线性动态测量来检测儿童睡眠呼吸障碍的集成信号处理环境。
6. Inverse Correlation between Heart Rate Variability and Heart Rate Demonstrated by Linear and Nonlinear Analysis [O] . Syed Zaki Hassan Kazmi, Henggui Zhang, Wajid Aziz, -1

机译：线性和非线性分析表明心率变异性与心率之间的反相关
7. Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states [O] . Luca Faes, Manuel Gómez-Extremera, Riccardo Pernice, 2019

机译：不同生理病理学状态下短期心率变异性评估非线性的方法的比较
8. Working on The Noltisalis Database: Measurement of Nonlinear Properties in Heart Rate Variability Signals. [R] . Signorini, M. G., Sassi, R., Cerutti, S. 2001

机译：研究Noltisalis数据库：心率变异信号中非线性特性的测量。

Nonlinearity degree of short-term heart rate variability signal

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