Performance evaluation of a mechanical ventilation simulation model for diverse respiratory complications

Author:

Mahatme Chetan1ORCID,Giri Jayant1ORCID,Al-Lohedan Hamad A.2ORCID,Mohammad Faruq2,Sunheriya Neeraj1ORCID,Chadge Rajkumar1,T. Sathish3ORCID,Giri Pallavi4,Mallik Saurav5,Dhayalan Manikandan6ORCID

Affiliation:

1. Mechanical Engineering Department, Yeshwantrao Chavan College of Engineering Nagpur 1 , Nagpur, Maharashtra, India

2. Department of Chemistry, College of Science, King Saud University 2 , P.O. Box 2445, Riyadh 11451, Kingdom of Saudi Arabia

3. Department of Mechanical Engineering, Saveetha School of Engineering, SIMATS 3 , Chennai, Tamil Nadu 602105, India

4. Laxminarayan Institute of Technology 4 , Nagpur, Maharashtra, India

5. Department of Environmental Health, Harvard T.H. Chan School of Public Health 5 , Boston, Massachusetts 02115, USA

6. Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (Saveetha University) 6 , Chennai 600077, India

Abstract

Medical life-saving techniques include mechanical ventilation. During the COVID-19 epidemic, the lack of inexpensive, precise, and accessible mechanical ventilation equipment was the biggest challenge. The global need exploded, especially in developing nations. Global researchers and engineers are developing inexpensive, portable medical ventilators. A simpler mechanical ventilator system with a realistic lungs model is simulated in this work. A systematic ventilation study is done using the dynamic simulation of the model. Simulation findings of various medical disorders are compared to standard data. The maximum lung pressure (Pmax) was 15.78 cmH2O for healthy lungs, 17.72 for cardiogenic pulmonary edema, 16.05 for pneumonia, 19.74 for acute respiratory distress syndrome (ARDS), 17.1 for AECOPD, 19.64 for asthma, and 15.09 for acute intracranial illnesses and head traumas. All were below 30 cmH2O, the average maximum pressure. The computed maximum tidal volume (TDVmax) is 0.5849 l, substantially lower than that of the healthy lungs (0.700 l). The pneumonia measurement was 0.4256 l, substantially lower than the typical 0.798 l. TDVmax was 0.3333 l for ARDS, lower than the usual 0.497 l. The computed TDVmax for AECOPD was 0.6084 l, lower than the normal 0.700 l. Asthma had a TDVmax of 0.4729 l, lower than the typical 0.798 l. In individuals with acute cerebral diseases and head traumas, TDVmax is 0.3511 l, lower than the typical 0.700 l. The results show the viability of the model as it performs accurately to the presented medical condition parameters. Further clinical trials are needed to assess the safety and reliability of the simulation model.

Funder

King Saud University

Publisher

AIP Publishing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3