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1
Autonomic activity in trauma patients based on variability of heart rate and respiratory rate.基于心率和呼吸频率变异性的创伤患者自主神经活动
Crit Care Med. 2004 Jun;32(6):1300-5. doi: 10.1097/01.ccm.0000127776.78490.e4.
2
Approximate entropy of respiratory patterns in panic disorder.惊恐障碍中呼吸模式的近似熵
Am J Psychiatry. 2004 Jan;161(1):79-87. doi: 10.1176/appi.ajp.161.1.79.
3
Multiscale entropy to distinguish physiologic and synthetic RR time series.多尺度熵用于区分生理和合成RR时间序列。
Comput Cardiol. 2002;29:137-40.
4
Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea.睡眠和睡眠呼吸暂停时心率变异性的去趋势波动分析与频谱分析比较
IEEE Trans Biomed Eng. 2003 Oct;50(10):1143-51. doi: 10.1109/TBME.2003.817636.
5
Heart rate variability.心率变异性
Am J Physiol Regul Integr Comp Physiol. 2003 Nov;285(5):R927-31. doi: 10.1152/ajpregu.00452.2003.
6
Novel method to quantify loss of heart rate variability in pediatric multiple organ failure.量化小儿多器官功能衰竭中心率变异性损失的新方法。
Crit Care Med. 2003 Jul;31(7):2059-67. doi: 10.1097/01.CCM.0000069539.65980.58.
7
Linear and nonlinear analysis of heart rate variability during propofol anesthesia for short-duration procedures in children.小儿短时间手术丙泊酚麻醉期间心率变异性的线性和非线性分析
Pediatr Crit Care Med. 2003 Jul;4(3):308-14. doi: 10.1097/01.PCC.0000074260.93430.6A.
8
Approximate entropy (ApEn) as a complexity measure.近似熵(ApEn)作为一种复杂性度量。
Chaos. 1995 Mar;5(1):110-117. doi: 10.1063/1.166092.
9
Interpretation of heart rate variability via detrended fluctuation analysis and alphabeta filter.通过去趋势波动分析和αβ滤波器解读心率变异性。
Chaos. 2003 Jun;13(2):467-75. doi: 10.1063/1.1562051.
10
Complexity analysis of the temperature curve: new information from body temperature.体温曲线的复杂性分析:来自体温的新信息。
Eur J Appl Physiol. 2003 May;89(3-4):230-7. doi: 10.1007/s00421-002-0790-2. Epub 2003 Mar 4.

复杂系统与变异性分析技术

Complex systems and the technology of variability analysis.

作者信息

Seely Andrew J E, Macklem Peter T

机构信息

Thoracic Surgery and Critical Care Medicine, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Crit Care. 2004 Dec;8(6):R367-84. doi: 10.1186/cc2948. Epub 2004 Sep 22.

DOI:10.1186/cc2948
PMID:15566580
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1065053/
Abstract

Characteristic patterns of variation over time, namely rhythms, represent a defining feature of complex systems, one that is synonymous with life. Despite the intrinsic dynamic, interdependent and nonlinear relationships of their parts, complex biological systems exhibit robust systemic stability. Applied to critical care, it is the systemic properties of the host response to a physiological insult that manifest as health or illness and determine outcome in our patients. Variability analysis provides a novel technology with which to evaluate the overall properties of a complex system. This review highlights the means by which we scientifically measure variation, including analyses of overall variation (time domain analysis, frequency distribution, spectral power), frequency contribution (spectral analysis), scale invariant (fractal) behaviour (detrended fluctuation and power law analysis) and regularity (approximate and multiscale entropy). Each technique is presented with a definition, interpretation, clinical application, advantages, limitations and summary of its calculation. The ubiquitous association between altered variability and illness is highlighted, followed by an analysis of how variability analysis may significantly improve prognostication of severity of illness and guide therapeutic intervention in critically ill patients.

摘要

随时间变化的特征模式,即节律,代表了复杂系统的一个决定性特征,这一特征与生命同义。尽管复杂生物系统各部分之间存在内在的动态、相互依存和非线性关系,但它们仍表现出强大的系统稳定性。应用于重症监护领域,宿主对生理损伤的反应所具有的系统特性表现为健康或疾病状态,并决定了我们患者的治疗结果。变异性分析提供了一种评估复杂系统整体特性的新技术。本综述重点介绍了我们科学测量变异性的方法,包括对整体变异性的分析(时域分析、频率分布、谱功率)、频率贡献(频谱分析)、尺度不变(分形)行为(去趋势波动和幂律分析)以及规律性(近似熵和多尺度熵)。每种技术都给出了定义、解释、临床应用、优点、局限性及其计算方法总结。文中强调了变异性改变与疾病之间普遍存在的关联,随后分析了变异性分析如何显著改善疾病严重程度的预后评估,并指导重症患者的治疗干预。