Home LiteratureArticle Details
PMID: 33786536 Published · aheadofprint English Journal Article

Computational Fluidic Modeling of a Low-Cost Fluidic Oscillator for Conversion of a CPAP Machine into an Emergency Use Mechanical Ventilator.

Advanced nanobiomed research ·2021-01-23 ·页码 2000112

Dillon T, Ozturk C, Mendez K, Rosalia L, Gollob SD, Kempf K, Roche ET

Abstract

This paper presents the computational fluidic modeling of a fluidic oscillator for the conversion of continuous positive airway pressure (CPAP) machines into emergency pressure support mechanical ventilators by providing a periodic pressure output to patients. The design addresses potential ventilator shortages resulting from the ongoing COVID-19 pandemic, or future pandemics by converting a positive pressure source into a mechanical ventilator with a part that is (i) inexpensive, (ii) easily manufactured without the need for specialized equipment, (iii) simple to assemble and maintain, (iv) does not require any electronics, and (v) has no moving components that could be prone to failure. A Computational Fluid Dynamics (CFD) model is used to assess flow characteristics of the system, and a prototype is developed and tested with a commercial benchtop respiratory stimulator. The simulations show clinically relevant periodic oscillation with outlet pressures in the range of 8-20 cmH2O and end-user-tunable frequencies in the range of 3-6 seconds (respiratory rate (RR) of 10-20 breaths per minute). The prototype can respond to disrupted oscillations, an analogue for patient-initiated breaths. The fluidic oscillator presented here functions at physiologically-relevant pressures and frequencies, demonstrating potential as a low-cost, readily deployable means for converting CPAP machines into emergency use ventilators. This article is protected by copyright. All rights reserved.

Keywords
COVID‐19 computational fluid dynamics fluidic oscillator mechanical ventilation
作者与单位
共 7 位作者,点击展开单位 / ORCID
Dillon Tom
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Ozturk Caglar
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Mendez Keegan
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Rosalia Luca
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Gollob Samuel Dutra
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Kempf Katharina
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Roche Ellen Tunney
MIT E25-344 77 Massachusetts Avenue Cambridge MA 02139 USA.
Article Info
Journal
Advanced nanobiomed research
Abbr.
Adv Nanobiomed Res
ISSN
2699-9307
Published
2021-01-23
电子出版
2021-00-23
页码
2000112
Language
English
Country/Region
Germany
NLM ID
101773117
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]