心肺系统的波动,噪音和缩放

B. Suki, A. Alencar, U. Frey, P. Ivanov, S. Buldyrev, A. Majumdar, H. Stanley, C. Dawson, G. Krenz, M. Mishima
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引用次数: 14

摘要

心肺系统的结构和功能是复杂的,统计物理似乎适合于它们的表征。在这篇综述中,我们检查缩放在心肺生理学。重点将是解释缩放行为及其与正常和患病心肺系统结构功能的关系。首先,我们从神经网络模型的角度概述了呼吸频率变异性的波动和缩放。接下来,我们使用小波和多重分形方法分析了健康和病理条件下人类心跳动态的波动。然后我们讨论了气道开口的雪崩行为以及气道开口过程中产生的噼啪声的缩放行为。我们还研究了观察到的缩放特性与肺血管树的设计特征之间的关系。最后,我们展示了肺组织结构的网络失效如何导致肺气肿,这是呼吸系统疾病的主要原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FLUCTUATIONS, NOISE AND SCALING IN THE CARDIO-PULMONARY SYSTEM
The structure and the functioning of cardio-pulmonary system is complex and statistical physics appear to be suitable for their characterization. In this review, we examine scaling in cardio-pulmonary physiology. The focus will be on the interpretation of scaling behaviors and their relation to structure-function in the normal and diseased cardio-pulmonary system. First, we overview fluctuations and scaling in respiratory rate variability in terms of a neural network model. Next, we analyze fluctuations in human heartbeat dynamics under healthy and pathologic conditions using wavelets and multifractal approaches. We then discuss avalanche behavior of airway openings as well as scaling behavior of crackling sound generated during the process of airway openings. We also examine the relationship between the observed scaling properties and the design features of the pulmonary vascular tree. Finally, we show how the network failure of lung tissue structure leads to emphysema, a leading cause of respiratory dis...
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