Obstructive respiratory disease simulation device.
Autor: | Clifton JA; Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand., Guy EFS; Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand., Knopp JL; Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand., Chase JG; Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. |
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Jazyk: | angličtina |
Zdroj: | HardwareX [HardwareX] 2024 Feb 01; Vol. 17, pp. e00512. Date of Electronic Publication: 2024 Feb 01 (Print Publication: 2024). |
DOI: | 10.1016/j.ohx.2024.e00512 |
Abstrakt: | Respiratory disease is a major contributor to healthcare costs, as well as increasing morbidity and early mortality. The device presented is used to simulate the effects of Chronic Obstructive Pulmonary Disease (COPD) in healthy people. The intended use is to provide data equivalent to COPD data measured from those who are ill for initial validation of respiratory mechanics models. It would thus eliminate the need to test unhealthy and/or fragile subjects, or the need for invasive or costly equipment based test methods. The device is used in conjunction with an open-access venturi-based flow sensor, to measure pressure, flow, and breath tidal volume. The device simulates the pressure and flow profiles of a person who has COPD including the non-linear increased resistance to end-exhalation and gas trapping. To achieve this non-linearity, a combination of high and low resistance outlets is used. Thus, the simulator allows the collection of patient-specific COPD-like breathing data in a non-invasive manner from healthy subjects. The device is low-cost with the majority of the parts 3D printed using a Prusa mini 3D printer and PLA filament. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Author(s).) |
Databáze: | MEDLINE |
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