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当前肺泡呼吸气体交换分析中呼吸周期的定义。

Current definitions of the breathing cycle in alveolar breath-by-breath gas exchange analysis.

机构信息

The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.

School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, United Kingdom.

出版信息

Am J Physiol Regul Integr Comp Physiol. 2023 Nov 1;325(5):R433-R445. doi: 10.1152/ajpregu.00065.2023. Epub 2023 Jul 31.

Abstract

Identification of the breathing cycle forms the basis of any breath-by-breath gas exchange analysis. Classically, the breathing cycle is defined as the time interval between the beginning of two consecutive inspiration phases. Based on this definition, several research groups have developed algorithms designed to estimate the volume and rate of gas transferred across the alveolar membrane ("alveolar gas exchange"); however, most algorithms require measurement of lung volume at the beginning of the breath (; i.e., the end-expiratory lung volume of the preceding breath). The main limitation of these algorithms is that direct measurement of is challenging and often unavailable. Two solutions avoid the requirement to measure by redefining the breathing cycle. One method defines the breathing cycle as the time between two equal fractional concentrations of lung expired oxygen () (or carbon dioxide; ), typically in the alveolar phase, whereas the other uses the time between equal values of the / (or /) ratios [i.e., the ratio of fractional concentrations of lung expired O (or CO) and nitrogen (N)]. Thus, these methods identify the breathing cycle by analyzing the gas fraction traces rather than the gas flow signal. In this review, we define the traditional approach and two alternative definitions of the human breathing cycle and present the rationale for redefining this term. We also explore the strengths and limitations of the available approaches and provide implications for future studies.

摘要

呼吸循环的识别是任何逐口气分析的基础。经典地,呼吸循环定义为两个连续吸气相之间的时间间隔。基于这个定义,几个研究小组已经开发了旨在估计跨肺泡膜转移的气体体积和速率的算法(“肺泡气体交换”);然而,大多数算法需要在呼吸开始时测量肺容量(即前一个呼吸的呼气末肺容量)。这些算法的主要限制是直接测量 具有挑战性且通常不可用。两种解决方案通过重新定义呼吸循环来避免测量 的要求。一种方法将呼吸循环定义为两个相等的肺呼气氧()分数浓度(或二氧化碳;)之间的时间,通常在肺泡相中,而另一种方法则使用 /(或 /)比值(即肺呼气 O(或 CO)和氮(N)的分数浓度之比)相等值之间的时间。因此,这些方法通过分析气体分数迹线而不是气体流量信号来识别呼吸循环。在这篇综述中,我们定义了人类呼吸循环的传统方法和两种替代定义,并提出了重新定义该术语的原理。我们还探讨了现有方法的优缺点,并为未来的研究提供了启示。

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本文引用的文献

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Breathing patterns recognition: A functional data analysis approach.呼吸模式识别:一种功能数据分析方法。
Comput Methods Programs Biomed. 2022 Apr;217:106670. doi: 10.1016/j.cmpb.2022.106670. Epub 2022 Feb 3.
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Ventilation/carbon dioxide output relationships during exercise in health.健康人群运动时的通气/二氧化碳输出关系。
Eur Respir Rev. 2021 Apr 13;30(160). doi: 10.1183/16000617.0160-2020. Print 2021 Jun 30.
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Defining the Rhythmogenic Elements of Mammalian Breathing.定义哺乳动物呼吸的节律生成要素。
Physiology (Bethesda). 2018 Sep 1;33(5):302-316. doi: 10.1152/physiol.00025.2018.

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