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首页> 外文期刊>HardwareX >Partially RepRapable automated open source bag valve mask-based ventilator
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Partially RepRapable automated open source bag valve mask-based ventilator

机译:部分重新运载的自动开源袋阀面罩的呼吸机

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摘要

This study describes the development of a simple and easy-to-build portable automated bag valve mask (BVM) compression system, which, during acute shortages and supply chain disruptions can serve as a temporary emergency ventilator. The resuscitation system is based on the Arduino controller with a real-time operating system installed on a largely RepRap 3-D printable parametric component-based structure. The cost of the materials for the system is under $170, which makes it affordable for replication by makers around the world. The device provides a controlled breathing mode with tidal volumes from 100 to 800?mL, breathing rates from 5 to 40 breaths/minute, and inspiratory-to-expiratory ratio from 1:1 to 1:4. The system is designed for reliability and scalability of measurement circuits through the use of the serial peripheral interface and has the ability to connect additional hardware due to the object-oriented algorithmic approach. Experimental results after testing on an artificial lung for peak inspiratory pressure (PIP), respiratory rate (RR), positive end-expiratory pressure (PEEP), tidal volume, proximal pressure, and lung pressure demonstrate repeatability and accuracy exceeding human capabilities in BVM-based manual ventilation. Future work is necessary to further develop and test the system to make it acceptable for deployment outside of emergencies such as with COVID-19 pandemic in clinical environments, however, the nature of the design is such that desired features are relatively easy to add using protocols and parametric design files provided.
机译:本研究描述了一种简单易于打造的便携式自动袋阀面罩(BVM)压缩系统的开发,在急性短缺和供应链中断期间可以用作临时应急呼吸机。复苏系统基于Arduino控制器,该控制器具有安装在基于基于3-D的基于3-D可印刷参数分量的结构的实时操作系统。该系统材料的成本低于170美元,这使得通过世界各地的制造商复制可负担得起。该器件提供受控呼吸模式,潮汐量为100至800?ml,呼吸率从5到40呼吸/分钟,呼吸率与1:1至1:4的吸气至呼气的比例。该系统是通过使用串行外设接口的测量电路的可靠性和可扩展性,并且由于面向对象的算法方法,能够连接额外的硬件。在人工肺测试后测试峰值吸气压力(PIP),呼吸速率(RR),阳性呼气压力(PEEP),潮气体积,近侧压力和肺压力的实验结果表明了在BVM中超出人类能力的可重复性和精度。基于手动通风。未来的工作是进一步开发和测试系统的必要工作,以使其在紧急情况之外可以接受,例如在临床环境中的Covid-19大流行病,但设计的性质是使用协议相对容易地添加所需的功能提供了参数化设计文件。

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