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用于无创机械通气动力学分析的递归图

Recurrence plots for dynamical analysis of non-invasive mechanical ventilation.

作者信息

Letellier C, Rabarimanantsoa H, Achour L, Cuvelier A, Muir J-F

机构信息

Université de Rouen, BP 12, 76801 Saint-Etienne du Rouvray Cedex, France.

出版信息

Philos Trans A Math Phys Eng Sci. 2008 Feb 28;366(1865):621-34. doi: 10.1098/rsta.2007.2114.

Abstract

Quantifiers were introduced to convert recurrence plots into a statistical analysis of dynamical properties. It is shown that the Shannon entropy, if properly computed, increases as the chaotic regime is developed as expected. Recurrence plots and a new estimator for the Shannon entropy are then used to identify asynchronisms in non-invasive mechanical ventilation. It is thus shown that the phase coherence-easily identified using a Shannon entropy-is relevant in the quality of the mechanical ventilation. In particular, some patients with chronic respiratory diseases or healthy subjects can have a high rate of asynchronisms but a regular breathing rhythm.

摘要

引入了量化器,将递归图转化为对动力学特性的统计分析。结果表明,如果计算得当,香农熵会随着混沌状态的发展而如预期那样增加。然后,递归图和一种新的香农熵估计器被用于识别无创机械通气中的不同步现象。由此表明,利用香农熵易于识别的相位相干性与机械通气质量相关。特别是,一些患有慢性呼吸道疾病的患者或健康受试者可能不同步率较高,但呼吸节律正常。

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