面向残疾老年人的实时、可视化、云联健康监测系统:老年人健康监测系统

Liqing Yang, Lin Chen, Lu Liu, Haibo Chen
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引用次数: 0

摘要

随着老龄化进程的加快,老年人慢性病患病率和残疾发生率也在迅速上升。长期卧床的残疾老年人由于身体功能严重下降,需要长期监测生理参数。同时,还需要监测患者与护理床之间的表面接触压力,防止压疮。在传统的系统中,生理和应激监测是分开的,既昂贵又难以操作。因此,本文提出了一种基于WiFi技术的实时、可视化、云连接的残疾老年人监测系统。它不仅可以实时监测生理参数,还可以监测表面接触压力。该系统由四个层面组成:(1)传感器终端节点实时采集心电图(ECG)、心率(HR)、血氧饱和度(SpO2),采集界面压力。(2)网络传输层采用WIFI (IEEE 802.11b)协议。(3)应用层设计了一个用Qt软件编写的可视化服务器。(4)云层部署在阿里云物联网服务器上,连接其他云医疗服务。6名受试者参加了测试,每个受试者被测试了5次。实验结果表明,该系统具有良好的数据采集性能、实时可视化性能、时延小的云连接性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Real-time, Visualization and Cloud-Linked Health Monitoring System for Disabled Elderly: Elderly Health Monitoring System
With the aging process, the prevalence of chronic diseases and the incidence of disability among the elderly has also increased rapidly. The disabled elderly who are in bed for a long time need long-term monitoring of physiological parameters because of the serious decline of physical function. At the same time, it is also necessary to monitor the surface contact pressure between patients and nursing beds to prevent pressure ulcers. In traditional systems, physiological and stress monitoring are kept separate and are expensive and difficult to operate. Therefore, this paper proposes a real-time, visualization, and cloud-linked disabled elderly monitoring system based on WiFi technology. It can not only monitor physiological parameters in real-time but also monitor surface contact pressure. This system consists of four levels: (1) The sensor terminal nodes collect electrocardiogram (ECG), heart rate (HR), oxygen saturation (SpO2), and collect interface pressure in real-time. (2) The network transport layer adopts WIFI (IEEE 802.11b) protocol. (3) The application layer designs a visual sever written by Qt software. (4) Cloud layer is deployed in the Ali-Cloud IoT server to connect to other cloud medical services. Six subjects took participated in the test and each subject was tested five times. The experimental results demonstrate that the system has a good performance to acquire data, visualize real-time, to connect clouds with a small delay.
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