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Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction

Mechanical ventilation is an effective medical means in the treatment of patients with critically ill, COVID-19 and other pulmonary diseases. During the mechanical ventilation and the weaning process, the conduct of pulmonary rehabilitation is essential for the patients to improve the spontaneous br...

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Autores principales: Hao, LiMing, Li, Xiao, Shi, Yan, Cai, MaoLin, Ren, Shuai, Xie, Fei, Li, YaNa, Wang, Na, Wang, YiXuan, Luo, ZuJin, Xu, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science China Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882862/
https://www.ncbi.nlm.nih.gov/pubmed/33613664
http://dx.doi.org/10.1007/s11431-020-1778-8
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author Hao, LiMing
Li, Xiao
Shi, Yan
Cai, MaoLin
Ren, Shuai
Xie, Fei
Li, YaNa
Wang, Na
Wang, YiXuan
Luo, ZuJin
Xu, Meng
author_facet Hao, LiMing
Li, Xiao
Shi, Yan
Cai, MaoLin
Ren, Shuai
Xie, Fei
Li, YaNa
Wang, Na
Wang, YiXuan
Luo, ZuJin
Xu, Meng
author_sort Hao, LiMing
collection PubMed
description Mechanical ventilation is an effective medical means in the treatment of patients with critically ill, COVID-19 and other pulmonary diseases. During the mechanical ventilation and the weaning process, the conduct of pulmonary rehabilitation is essential for the patients to improve the spontaneous breathing ability and to avoid the weakness of respiratory muscles and other pulmonary functional trauma. However, inappropriate mechanical ventilation strategies for pulmonary rehabilitation often result in weaning difficulties and other ventilator complications. In this article, the mechanical ventilation strategies for pulmonary rehabilitation are studied based on the analysis of patient-ventilator interaction. A pneumatic model of the mechanical ventilation system is established to determine the mathematical relationship among the pressure, the volumetric flow, and the tidal volume. Each ventilation cycle is divided into four phases according to the different respiratory characteristics of patients, namely, the triggering phase, the inhalation phase, the switching phase, and the exhalation phase. The control parameters of the ventilator are adjusted by analyzing the interaction between the patient and the ventilator at different phases. A novel fuzzy control method of the ventilator support pressure is proposed in the pressure support ventilation mode. According to the fuzzy rules in this research, the plateau pressure can be obtained by the trigger sensitivity and the patient’s inspiratory effort. An experiment prototype of the ventilator is established to verify the accuracy of the pneumatic model and the validity of the mechanical ventilation strategies proposed in this article. In addition, through the discussion of the patient-ventilator asynchrony, the strategies for mechanical ventilation can be adjusted accordingly. The results of this research are meaningful for the clinical operation of mechanical ventilation. Besides, these results provide a theoretical basis for the future research on the intelligent control of ventilator and the automation of weaning process.
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spelling pubmed-78828622021-02-16 Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction Hao, LiMing Li, Xiao Shi, Yan Cai, MaoLin Ren, Shuai Xie, Fei Li, YaNa Wang, Na Wang, YiXuan Luo, ZuJin Xu, Meng Sci China Technol Sci Article Mechanical ventilation is an effective medical means in the treatment of patients with critically ill, COVID-19 and other pulmonary diseases. During the mechanical ventilation and the weaning process, the conduct of pulmonary rehabilitation is essential for the patients to improve the spontaneous breathing ability and to avoid the weakness of respiratory muscles and other pulmonary functional trauma. However, inappropriate mechanical ventilation strategies for pulmonary rehabilitation often result in weaning difficulties and other ventilator complications. In this article, the mechanical ventilation strategies for pulmonary rehabilitation are studied based on the analysis of patient-ventilator interaction. A pneumatic model of the mechanical ventilation system is established to determine the mathematical relationship among the pressure, the volumetric flow, and the tidal volume. Each ventilation cycle is divided into four phases according to the different respiratory characteristics of patients, namely, the triggering phase, the inhalation phase, the switching phase, and the exhalation phase. The control parameters of the ventilator are adjusted by analyzing the interaction between the patient and the ventilator at different phases. A novel fuzzy control method of the ventilator support pressure is proposed in the pressure support ventilation mode. According to the fuzzy rules in this research, the plateau pressure can be obtained by the trigger sensitivity and the patient’s inspiratory effort. An experiment prototype of the ventilator is established to verify the accuracy of the pneumatic model and the validity of the mechanical ventilation strategies proposed in this article. In addition, through the discussion of the patient-ventilator asynchrony, the strategies for mechanical ventilation can be adjusted accordingly. The results of this research are meaningful for the clinical operation of mechanical ventilation. Besides, these results provide a theoretical basis for the future research on the intelligent control of ventilator and the automation of weaning process. Science China Press 2021-02-10 2021 /pmc/articles/PMC7882862/ /pubmed/33613664 http://dx.doi.org/10.1007/s11431-020-1778-8 Text en © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Hao, LiMing
Li, Xiao
Shi, Yan
Cai, MaoLin
Ren, Shuai
Xie, Fei
Li, YaNa
Wang, Na
Wang, YiXuan
Luo, ZuJin
Xu, Meng
Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title_full Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title_fullStr Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title_full_unstemmed Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title_short Mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
title_sort mechanical ventilation strategy for pulmonary rehabilitation based on patient-ventilator interaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882862/
https://www.ncbi.nlm.nih.gov/pubmed/33613664
http://dx.doi.org/10.1007/s11431-020-1778-8
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