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基于物联网的远程哮喘患者监测系统的研究与开发。

Research and Development of an IoT-Based Remote Asthma Patient Monitoring System.

机构信息

Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka-1229, Bangladesh.

Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.

出版信息

J Healthc Eng. 2021 Nov 30;2021:2192913. doi: 10.1155/2021/2192913. eCollection 2021.

DOI:10.1155/2021/2192913
PMID:34868511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8639242/
Abstract

This paper presents the research and development of an Internet of Things- (IoT-) based remote health monitoring system for asthmatic patients. Asthma is an inflammatory disease. Asthma causes the lungs to swell and get narrower, making it difficult to carry air in and out of the lungs. This situation makes breathing very difficult. Remote patient monitoring (RPM) is a method of collecting health-related data from patients who are in a remote location and electronically transmitting it to healthcare providers for evaluation and consultation. The aim of this study is to design a monitoring system that allows doctors to monitor asthmatic patients from a remote area. The proposed system will allow patients to measure oxygen saturation (SpO2), heart rate, body temperature, humidity, volatile gases, room temperature, and electrocardiogram (ECG) using various sensors, which will be displayed in an application. This data is then sent to the doctor to monitor the patient's condition and suggest appropriate actions. Overall, the system consists of an Android application, a website, and various sensors. The Android studio and Java programming language were used to develop the application. For the frontend, the website was built using Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and jQuery. The system also uses Django, a Python-based open-source web framework, for the backend. The system developed the various sensors using an ESP8266 microcontroller compatible with the Arduino Integrated Development Environment (IDE). The system uses a MAX30100 pulse oximeter and heart rate sensor, a GY-906 MLX90614 noncontact precision thermometer, a DHT11 humidity and temperature sensor, a MQ-135 gas and air quality sensor, and an AD8232 ECG sensor for collecting various parameters that may trigger asthma attacks. Finally, the system developed the Asthma Tracker app and the Asthma Tracker website for remote health monitoring. The system was initially tested on demo patients and later deployed and tested on seven real human test subjects. Overall, the monitoring system produced satisfactory results. The data acquired by the sensors has a high level of accuracy. The system also maintained user-friendliness and low cost.

摘要

本文提出了一种基于物联网（IoT）的远程哮喘患者健康监测系统的研究与开发。哮喘是一种炎症性疾病。哮喘会导致肺部肿胀并变窄，使空气难以进出肺部。这种情况会导致呼吸困难。远程患者监测（RPM）是一种从远程位置收集患者健康相关数据并将其电子传输给医疗保健提供者进行评估和咨询的方法。本研究的目的是设计一种监测系统，使医生能够从远程区域监测哮喘患者。所提出的系统将允许患者使用各种传感器测量血氧饱和度（SpO2）、心率、体温、湿度、挥发性气体、室温以及心电图（ECG），这些数据将在应用程序中显示。然后，将这些数据发送给医生以监测患者的病情并提出适当的行动建议。总的来说，该系统由一个 Android 应用程序、一个网站和各种传感器组成。使用 Android Studio 和 Java 编程语言开发了该应用程序。对于前端，使用超文本标记语言（HTML）、层叠样式表（CSS）、JavaScript 和 jQuery 构建了网站。该系统还使用基于 Python 的开源 Web 框架 Django 作为后端。系统使用与 Arduino 集成开发环境（IDE）兼容的 ESP8266 微控制器开发了各种传感器。系统使用 MAX30100 脉搏血氧仪和心率传感器、GY-906 MLX90614 非接触式精密温度计、DHT11 湿度和温度传感器、MQ-135 气体和空气质量传感器以及 AD8232 ECG 传感器来收集可能引发哮喘发作的各种参数。最后，系统开发了哮喘追踪器应用程序和哮喘追踪器网站，用于远程健康监测。该系统最初在演示患者身上进行了测试，然后在七个真实的人体测试对象上进行了部署和测试。总的来说，监测系统取得了令人满意的结果。传感器采集的数据具有很高的准确性。该系统还保持了用户友好性和低成本。

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