- Published
- 03 December 2020
- Journal article
GlasVent - The rapidly deployable emergency ventilator
- Authors
- Source
- Global Challenges
Full text
Abstract
As a result of the novel Coronavirus disease (COVID-19) outbreak, a surge is witnessed in the demand for mechanical ventilators needed for treating affected patients. With the rapidly virus spreading around the globe, the shortage of ventilators becomes a global challenge and numerus efforts are followed. While industry mobilizes toward producing medical grade equipment, a number of low-cost and less complex emergency ventilators have been developed, mainly through academic and open-source channels, with a hope to meet any temporary needs gap until medical grade ventilator provision becomes sufficient. Herein, the design and implementation of one such emergency ventilator called GlasVent is presented, which an automated version of manual resuscitator device, commonly known as big valve mask or artificial manual breathing unit bag and widely used prior to initiating the mechanical ventilation. GlasVent uses 3D printed mechanical parts, widely available materials and off-the-shelf electronic and sensing devices which can be fast assembled. Furthermore, it requires minimal training and can be operated manually by hands or legs, thus meeting the emergency requirements even in the low-resource settings or regions with less developed healthcare systems. Post-COVID-19, such ventilators can potentially find use in clinical care of a wider variety of patients with injury, pulmonary noncommunicable diseases, and severe asthma etc.
Rights
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Cite as
Christou, A., Ntagios, M., Hart, A. & Dahiya, R. 2020, 'GlasVent - The rapidly deployable emergency ventilator', Global Challenges, 4(12), article no: 2000046. http://dx.doi.org/10.1002/gch2.202000046
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- Repository URI
- http://eprints.gla.ac.uk/218812/