IoT-based personal health care monitoring device for diabetic patients

R. A. Rahman, Nur Shima Abdul Aziz, M. Kassim, M. I. Yusof
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引用次数: 52

Abstract

This paper presents a non-invasive breath test to monitor the condition of diabetic patients. It is identified as an easier technique and quick diagnoses of diabetic ketoacidosis (DKA). DKA is a preventable acute complication of type 1 diabetes mellitus. Common diabetic test on patients are done on urinary test and blood ketone test to monitor for diabetes condition. However, those methods are considers as invasive, inconvenient and expensive. Recently, breath acetone has been considered as a new ketone biomarker because it is non-invasive, convenient, and accurate reflection of the body's ketone level. This research presents a method of monitoring ketone level by using breath measurement. Main objective of this research is to present an easy handheld health care on monitoring diabetic level with breath. Method consists of development of hardware connection with Internet of Things (IoT) system to facilitate the process of patients' diagnosis and personal monitoring. In this system, Arduino board is used to read the sensor with sense the breath. Breath value level is log to system using wireless communication. Data collection is interfaced to web page. Ketone level is measured as the amount of breath acetone is collected when patients exhale into a mouthpiece that consists of gas sensor. The reading from Arduino is shared to the database via ESP 8266 Wi-Fi Module and can be accessed by the patients or registered doctors. This research is significant where patients can independently monitor their diabetic health and the IoT system can be alerted directly to medial officers in the hospitals.
基于物联网的糖尿病患者个人健康监护监护装置
本文介绍了一种监测糖尿病患者病情的无创呼吸试验方法。它被认为是糖尿病酮症酸中毒(DKA)的一种简便、快速的诊断方法。DKA是1型糖尿病可预防的急性并发症。糖尿病患者的常规检查包括尿检和血酮检测,以监测糖尿病情况。然而,这些方法被认为是侵入性的、不方便的和昂贵的。近年来,呼吸丙酮因其无创、方便、准确地反映人体酮水平而被认为是一种新的酮类生物标志物。本研究提出了一种通过呼吸测量来监测酮水平的方法。本研究的主要目的是提出一种简便的手持式呼吸监测糖尿病水平的保健方法。方法包括开发与物联网(IoT)系统的硬件连接,以方便患者的诊断和个人监测过程。在本系统中,利用Arduino板读取传感器,感知呼吸。呼吸值水平通过无线通信记录到系统中。数据采集与网页接口。酮的水平是通过患者向由气体传感器组成的吸口呼气时收集的呼气丙酮量来测量的。Arduino的读数通过ESP 8266 Wi-Fi模块共享到数据库,患者或注册医生可以访问。这项研究意义重大,因为患者可以独立监测他们的糖尿病健康状况,物联网系统可以直接向医院的医务人员发出警报。
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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