COVENT-Tester: A low-cost, open source ventilator tester

Abuzairi, Tomy; Irfan, Ahli; Basari, Basari

doi:10.1016/j.ohx.2021.e00196

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…For individual researchers or users, a major attraction of using open hardware is the low cost, compared with proprietary products. For example, an open version of a neuro‐prosthetic arm costs US$600 compared with commercial products that cost tens to hundreds of thousands US$ (Cutipa‐Puma et al, 2023); an open‐source insulin pump costs <US$100 in comparison with commercially available pumps that cost thousands of US$ (Payne et al, 2022), and an open‐source ventilator tester costs US$190 in contrast to a price tag of US$10,000–$12,000 for commercial testers (Abuzairi et al, 2021). The cost advantage of open hardware offers expanded research opportunities that would otherwise be budget prohibited.…”

Section: Open Hardware To Support Research Communitiesmentioning

confidence: 99%

Exploring pathways toward open‐hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Liu,

Koch,

Arregui

et al. 2024

J Exp Zool Pt B

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Development of reliable germplasm repositories is critical for preservation of genetic resources of aquatic species, which are widely utilized to support biomedical innovation by providing a foundational source for naturally occurring variation and development of new variants through genetic manipulations. A significant barrier in repository development is the lack of cryopreservation capability and reproducibility across the research community, posing great risks of losing advances developed from billions of dollars of research investment. The emergence of open scientific hardware has fueled a new movement across biomedical research communities. With the increasing accessibility of consumer‐level fabrication technologies, such as three‐dimensional printers, open hardware devices can be custom designed, and design files distributed to community members for enhancing rigor, reproducibility, and standardization. The overall goal of this review is to explore pathways to create open‐hardware ecosystems among the communities using aquatic model resources for biomedical research. To gain feedback and insights from community members, an interactive workshop focusing on open‐hardware applications in germplasm repository development was held at the 2022 Aquatic Models for Human Disease Conference, Woods Hole, Massachusetts. This work integrates conceptual strategies with practical insights derived from workshop interactions using examples of germplasm repository development. These insights can be generalized for establishment of open‐hardware ecosystems for a broad biomedical research community. The specific objectives were to: (1) introduce an open‐hardware ecosystem concept to support biomedical research; (2) explore pathways toward open‐hardware ecosystems through four major areas, and (3) identify opportunities and future directions.

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Section: Open Hardware To Support Research Communitiesmentioning

confidence: 99%

Exploring pathways toward open‐hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Liu,

Koch,

Arregui

et al. 2024

J Exp Zool Pt B

View full text Add to dashboard Cite

show abstract

“…After the design is completed, the module is tested by Ventest 800 Series RIGEL Medical made in the UK with a standard model for universal application appearance [27] [28]. At the beginning of the experiment, it must be ensured in advance that the value of the oxygen concentration and oxygen flow rate is in accordance with the standard.…”

Section: ) Experimentsmentioning

confidence: 99%

Analysis of Changes in Flow Setting Against Rise Time Using Gas Board 7500E Sensor on Bubble CPAP

Pudji

Amrinsani

Luthfiyah

et al. 2022

Indones.J.electronic.electromed.med.inf

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Respiratory distress in neonates is one of the biggest problems encountered on a daily basis. Respiratory distress looks like rapid breathing in a newborn. CPAP Bubble is the right treatment in this case. Rise time is the time for airway pressure to reach the maximum standard value. A fast time value can make it possible to bring the breath pressure to a standard level. This study aims to analyze changes in setting flow to rise time using a gasboard sensor 7500E on a CPAP bubble device. The main advantage of this proposed method is that the results are displayed in the form of graphics, portable and there is data storage. This design uses a Gasboard 7500E sensor as a detector of oxygen concentration, a TFT LCD as a graphic display and an SD Card as data storage. The data collection is in the form of the average rise time of oxygen concentration followed by changes in its rate. Data were taken five times with three different CPAPs. The results showed that the increase in the rate affect the rise time of the CPAP oxygen concentration.

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“…In the most recent study in 2021, Tomy Abuzairi et al conducted research by developing an open-source ventilator tester using GFS131 as the flow-rate sensor. The purpose of creating this device was to produce a low-cost ventilator testing tool [26]. However, the researchers hope for future studies using different sensors to discover a ventilator tester with an even lower cost.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters.

Wahyu Pambudi,

Yulianto,

Wakidi

2023

Indones.J.electronic.electromed.med.inf

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The PIF and PEF parameters on the ventilator need to be taken into account to monitor the condition of patients undergoing mechanical ventilation. Both of these parameters need to undergo periodic testing to ensure that the ventilator can provide accurate information to its users. The testing of these two parameters can be conducted using a flow analyzer. The objective of this research is to develop a flow analyzer for PIF and PEF parameters using the AFM3000 flow sensor, with the results displayed on an LCD TFT screen in the form of graphs and numerical values. The research measurements were conducted in Volume Control (VC) mode with VT settings of 200, 300, 400, 500, and 600 mL. Data collection was done using two methods to obtain two different types of data. From the first data collection, the largest errors in reading PIF and PEF values were found to be 3.49% and 2.99%, respectively. The second data collection resulted in a sensor's change in reading constant flow of ±0.1 LPM. Overall, the research findings indicate that the AFM3000 sensor has good accuracy and stability. Additionally, the AFM3000 flow sensor has good sensitivity and very short delay, making it suitable for real-time graph display in the module.

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COVENT-Tester: A low-cost, open source ventilator tester

Abstract: Graphical abstract

Cited by 13 publications

References 7 publications

Exploring pathways toward open‐hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Exploring pathways toward open‐hardware ecosystems to safeguard genetic resources for biomedical research communities using aquatic model species

Analysis of Changes in Flow Setting Against Rise Time Using Gas Board 7500E Sensor on Bubble CPAP

Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters.

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