远程病人无线健康监测系统的设计与实现

Shubha Majumder, Muhammad Asad Rahman, Md. Sajedul Islam, Diponkar Ghosh
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引用次数: 12

摘要

远程健康监测一直是研究领域的热点。虽然老年人的数量正在增加,但不可否认的是,迫切需要一个分散的医疗保健系统,提供远程监控,以减少不断上升的医疗保健支出。此外,世界卫生组织报告说,在孟加拉国,大约17%的死亡是由心血管疾病引起的。持续的健康监测和快速检测可挽救多达60%的生命。基于这些原因,无线、可穿戴、低成本和自动健康监测系统是一个合适的解决方案。本文所实现的项目是一个用户友好、可穿戴的血压、心率和体温连续监测系统,该系统可以通过蓝牙与所需的Android设备进行通信。该系统主要由红外发射器、接收器、LM-35、MPXV 5050GP、数据采集单元、微控制器(即Arduino)和蓝牙组成。蓝牙的传输速率比ZigBee高,性价比比GSM高。此外,所有测量读数和通信都有密码保护。一个免费的和用户友好的Android应用程序被归因于演示读数。该系统已经过现场测试,以确保可靠性和准确性。测试结果表明,该系统能够高精度地测量患者的生理数据。该系统可以很容易地从以前的工作中分离出来,以最大限度地收集数据,实时监控,安全问题和成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of a Wireless Health Monitoring System for Remotely Located Patients
Remote health monitoring is regarded as a hot topic in the arena of research. Though the number of aged people is increasing, it is irrefutable that the need of a disperse medical care system providing remote monitoring intending to reduce the escalating healthcare expenditure is very urgent. Moreover, World Health organization reported, in Bangladesh, about 17% of deaths are caused by cardiovascular diseases. Continual health monitoring and rapid detection can save up to 60% of lives. For these reasons, a wireless, wearable, low cost and automatic health monitoring system is a suitable solution. The implemented project described in this paper is a user- friendly, wearable and continuous monitoring system of blood pressure, heart rate, and body temperature, which can communicate with requested Android devices through Bluetooth. The system mainly consists of IR transmitter, receiver, LM-35, MPXV 5050GP, the data acquisition unit, microcontroller (i.e., Arduino) and Bluetooth. Bluetooth is used for its better transmission rate than ZigBee and cost-efficiency than GSM. In addition, all the measured readings and communications are password protected. A free and user- friendly Android application is attributed to demonstrate the readings. The proposed system has been field tested to ensure dependability and exactitude. The test results showed that this system could measure the patient‘s physiological data with high accuracy. The system can be easily segregated from the previous works for its maximum number of data collection, real-time monitoring, security issues and cost-effectiveness.
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