Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing

Mechanical ventilation is an important and effective method for the treatment of pulmonary diseases patients with spontaneous breathing. Spontaneous breathing refers to the physiological breathing activity caused by the respiratory muscle. These patients retain some ability to breathe spontaneously,...

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Autores principales:	Liming Hao, Yan Shi, Maolin Cai, Shuai Ren, Yixuan Wang, Hao Zhang, Qihui Yu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2019
Materias:	Mechanical ventilation spontaneous breathing pneumatic model lung simulator dynamic characteristics Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/8ffe5d4d58c54edf8aac87008526400f
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spelling	oai:doaj.org-article:8ffe5d4d58c54edf8aac87008526400f2021-11-19T00:04:26ZDynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing2169-353610.1109/ACCESS.2019.2955075https://doaj.org/article/8ffe5d4d58c54edf8aac87008526400f2019-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8910591/https://doaj.org/toc/2169-3536Mechanical ventilation is an important and effective method for the treatment of pulmonary diseases patients with spontaneous breathing. Spontaneous breathing refers to the physiological breathing activity caused by the respiratory muscle. These patients retain some ability to breathe spontaneously, but do not reach the level of normal breathing. Mathematical simulation and modeling of the mechanical ventilation system are crucial for research on mechanical ventilation. In this paper, a novel pneumatic model of a mechanical ventilation system considering patients’ spontaneous breathing is presented. Mathematical equations are accurately derived to explain the principles of the respiratory system and mechanical ventilation system. An experimental prototype is designed to confirm the correctness and validity of the pneumatic model. The goodness of fit shows that the mathematical simulation curve fits well with the experimental curve, thus confirming the accuracy of the pneumatic model. For patients with a certain degree of spontaneous breathing, the mechanical ventilation mode is set to the pressure support ventilation (<italic>PSV</italic>) mode, and variations in the flow, pressure and tidal volume curves are observed by changing specific respiratory mechanics parameters such as the compliance (<inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>), the effective area of the throttle in the pneumatic model (<inline-formula> <tex-math notation="LaTeX">$A$ </tex-math></inline-formula>), and the muscle pressure difference (<inline-formula> <tex-math notation="LaTeX">$\Delta P_{\mathrm {mus}}$ </tex-math></inline-formula>). From the results, it can be concluded that the resistance of the mechanical ventilation system can be equivalent to <inline-formula> <tex-math notation="LaTeX">$A$ </tex-math></inline-formula>. The dynamic characteristics (mainly flow characteristics, tidal volume characteristics and pressure characteristics) of the mechanical ventilation system are directly influenced by variations in <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$A $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\Delta P_{\mathrm {mus}}$ </tex-math></inline-formula>. This study is an important reference for setting ventilation levels and ventilator control parameters. The results of this research are valuable for the diagnosis and treatment of respiratory diseases.Liming HaoYan ShiMaolin CaiShuai RenYixuan WangHao ZhangQihui YuIEEEarticleMechanical ventilationspontaneous breathingpneumatic modellung simulatordynamic characteristicsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 7, Pp 172847-172859 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mechanical ventilation spontaneous breathing pneumatic model lung simulator dynamic characteristics Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Mechanical ventilation spontaneous breathing pneumatic model lung simulator dynamic characteristics Electrical engineering. Electronics. Nuclear engineering TK1-9971 Liming Hao Yan Shi Maolin Cai Shuai Ren Yixuan Wang Hao Zhang Qihui Yu Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
description	Mechanical ventilation is an important and effective method for the treatment of pulmonary diseases patients with spontaneous breathing. Spontaneous breathing refers to the physiological breathing activity caused by the respiratory muscle. These patients retain some ability to breathe spontaneously, but do not reach the level of normal breathing. Mathematical simulation and modeling of the mechanical ventilation system are crucial for research on mechanical ventilation. In this paper, a novel pneumatic model of a mechanical ventilation system considering patients’ spontaneous breathing is presented. Mathematical equations are accurately derived to explain the principles of the respiratory system and mechanical ventilation system. An experimental prototype is designed to confirm the correctness and validity of the pneumatic model. The goodness of fit shows that the mathematical simulation curve fits well with the experimental curve, thus confirming the accuracy of the pneumatic model. For patients with a certain degree of spontaneous breathing, the mechanical ventilation mode is set to the pressure support ventilation (<italic>PSV</italic>) mode, and variations in the flow, pressure and tidal volume curves are observed by changing specific respiratory mechanics parameters such as the compliance (<inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>), the effective area of the throttle in the pneumatic model (<inline-formula> <tex-math notation="LaTeX">$A$ </tex-math></inline-formula>), and the muscle pressure difference (<inline-formula> <tex-math notation="LaTeX">$\Delta P_{\mathrm {mus}}$ </tex-math></inline-formula>). From the results, it can be concluded that the resistance of the mechanical ventilation system can be equivalent to <inline-formula> <tex-math notation="LaTeX">$A$ </tex-math></inline-formula>. The dynamic characteristics (mainly flow characteristics, tidal volume characteristics and pressure characteristics) of the mechanical ventilation system are directly influenced by variations in <inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$A $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\Delta P_{\mathrm {mus}}$ </tex-math></inline-formula>. This study is an important reference for setting ventilation levels and ventilator control parameters. The results of this research are valuable for the diagnosis and treatment of respiratory diseases.
format	article
author	Liming Hao Yan Shi Maolin Cai Shuai Ren Yixuan Wang Hao Zhang Qihui Yu
author_facet	Liming Hao Yan Shi Maolin Cai Shuai Ren Yixuan Wang Hao Zhang Qihui Yu
author_sort	Liming Hao
title	Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
title_short	Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
title_full	Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
title_fullStr	Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
title_full_unstemmed	Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing
title_sort	dynamic characteristics of a mechanical ventilation system with spontaneous breathing
publisher	IEEE
publishDate	2019
url	https://doaj.org/article/8ffe5d4d58c54edf8aac87008526400f
work_keys_str_mv	AT liminghao dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT yanshi dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT maolincai dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT shuairen dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT yixuanwang dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT haozhang dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing AT qihuiyu dynamiccharacteristicsofamechanicalventilationsystemwithspontaneousbreathing
_version_	1718420679354744832

Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing

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