Designing Hybrid Mechanical Ventilator System Based On Arduino and Raspberry Pi 4

IF 0.8 4区医学 Q4 ENGINEERING, BIOMEDICAL

Journal of Medical Devices-Transactions of the Asme Pub Date : 2022-03-08 DOI:10.1115/1.4054036

E. Malaekah, Khaled Al Awam, Husham Farouk, Elamir Abuabid, V. Mukhanov, A. Alahmari, Hasan Alshagag

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引用次数: 0

Abstract

Mechanical ventilators are advanced life-supporting machines in the present century. The ventilator needs to be safe, flexible, and easy for competent clinicians to use. Since ventilators supply the patient with gas, they need pneumatic components to be present. First technology ventilators were typically powered by pneumatic energy. Gas pressure is used to power ventilators as well as ventilate patients. Nowadays, ventilators are operated electronically with the useful microprocessor tool. This proposal aims to design a simple portable mechanical ventilator that includes measuring some important physiological variables such as respiratory rate, heart rate, and O2 saturation, which can be utilized in hospital and at home. The proposed system includes Arduino, Rasspary pi4, touch screen and graphical user interface. This study showed a significant individual performance for measuring some important parameters such as flow rate, tidal volume, and minute ventilation. The accuracy of measuring the flow rate was 72%. The Cohen's Kappa (CK) was estimated to be 0.61. The accuracy of calculated the tidal volume was estimated at 83% with 0.80 CK. The accuracy of measuring the O2 saturation was estimated at 99% with 0.99 CK. The advantages of the proposed design are cost-effective, safe, flexible, and easy to use. Also, this system is smart and can control its transactions, so it can be used at home without the need for professional help. The operating parameters can also be set by the user with a simple user interface.

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基于Arduino和树莓派4的混合机械呼吸系统设计

机械通气机是本世纪先进的维持生命的机器。呼吸机需要安全、灵活，便于有能力的临床医生使用。由于呼吸机为患者提供气体，因此需要配备气动部件。先进技术的呼吸机通常由气动能量提供动力。气压用于为呼吸机提供动力，也用于为患者通气。如今，通风机是用有用的微处理器工具进行电子操作的。该提案旨在设计一种简单的便携式机械呼吸机，包括测量一些重要的生理变量，如呼吸频率、心率和O2饱和度，可在医院和家中使用。该系统包括Arduino、Rasspary pi4、触摸屏和图形用户界面。这项研究表明，在测量一些重要参数（如流速、潮气量和分钟通气量）方面，个体表现显著。测量流速的准确率为72%。科恩Kappa（CK）估计为0.61。计算潮气量的准确度估计为83%（0.80 CK）。测量O2饱和度的准确度评估为99%（0.99 CK），所提出的设计具有成本效益高、安全、灵活和易于使用的优点。此外，该系统是智能的，可以控制其交易，因此可以在家中使用，无需专业帮助。操作参数也可以由用户通过简单的用户界面进行设置。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Devices-Transactions of the Asme ENGINEERING, BIOMEDICAL-

CiteScore

1.80

自引率

11.10%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Medical Devices presents papers on medical devices that improve diagnostic, interventional and therapeutic treatments focusing on applied research and the development of new medical devices or instrumentation. It provides special coverage of novel devices that allow new surgical strategies, new methods of drug delivery, or possible reductions in the complexity, cost, or adverse results of health care. The Design Innovation category features papers focusing on novel devices, including papers with limited clinical or engineering results. The Medical Device News section provides coverage of advances, trends, and events.