Respiration Measurement in a Simulated Setting Incorporating the Internet of Things
Respiration Measurement in a Simulated Setting Incorporating the Internet of Things
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DOI：
10.3390/technologies9020030
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发表时间：
2021-04
期刊：
影响因子：
3.6
通讯作者：
Tareq Abdulqader;R. Saatchi;H. Elphick
中科院分区：
文献类型：
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作者：
Tareq Abdulqader;R. Saatchi;H. Elphick
近年来，医疗保健领域的物联网（IoT）受到了极大的关注。这项研究通过说明一种从模拟呼吸的平台测量呼吸率的方法，展示了物联网在医疗保健中的应用。呼吸速率是监测危重患者的重要生理指标。设计的方法，进一步发展，可能适合集成到新生儿重症监护病房（NICU），以测量婴儿的呼吸率。这种方法的一个潜在优点是，它使用无线非接触式方法监测呼吸，并可以增加诸如保持皮肤完整性等益处。本文旨在评估基于物联网的超声（US）测量呼吸率的方法的准确性。通过具有可控移动表面的平台模拟由于呼吸引起的胸部运动。运动的幅度和频率由信号发生器精确控制。使用US作为一种可靠且具有成本效益的技术来跟踪地面移动。使用ESP8266 NodeMCU无线记录US信号，并使用ThingSpeak和Matlab©在云中分析和可视化数据。观察到模拟呼吸的测量速率与实际频率之间的密切关系。该研究表明，物联网可能适用于呼吸率测量，但在医疗环境中使用该系统之前，还需要进一步的工作来确保数据处理的安全性和可靠性。
The Internet of Things (IoT) in healthcare has gained significant attention in recent years. This study demonstrates an adaptation of IoT in healthcare by illustrating a method of respiration rate measurement from a platform that simulates breathing. Respiration rate is a crucial physiological measure in monitoring critically ill patients. The devised approach, with further development, may be suitable for integration into neonatal intensive care units (NICUs) to measure infants’ respiration rate. A potential advantage of this method is that it monitors respiration using a wireless non-contact method and could add benefits such as preservation of skin integrity. The paper aimed to assess the accuracy of an IoT-integrated ultrasound (US)-based method for measuring respiration rate. Chest movement due to respiration was simulated by a platform with a controllable moving surface. The magnitude and frequency of the movements were accurately controlled by a signal generator. The surface movements were tracked using US as a reliable and cost-effective technology. ESP8266 NodeMCU was used to wirelessly record the US signal and ThingSpeak and Matlab© were used to analyze and visualize the data in the cloud. A close relationship between the measured rate of the simulated respiration and the actual frequency was observed. The study demonstrated a possible adaption of IoT for respiration rate measurement, however further work will be needed to ensure security and reliability of data handling before use of the system in medical environments.