基于ZigBee的养老院老人体征监测系统设计

Design of Personal Health Information Management and Privacy Protection System

摘要:

随着我国老年化速度的加快，对老年人养老问题被社会广泛关注和重视。智慧养老被广泛应用于养老院，但目前无法实时监测每一位老年人的体征健康状况。为解决上述问题，设计了一种基于ZigBee的老年人体征监测系统。该系统分为主要分为三个模块数据采集，网络传输和应用分析。系统设计中采用便携式的心电传感器、呼吸波传感器、体温传感器和心率传感器实现对老年人体征数据的采集，采集到的数据通过ZigBee无线传感器网络传输到服务器，再由应用软件与算法对数据进行分析管理，从而保证了老年人在养老院的体征信息被实时监控。实验结果表明，系统设计的终端与各种传感器的数据采集、传输、分析等各模块的功能都被实现，且系统对采集到的信息进行分析预测其老人的健康状况，且预测评估指标RMSE为0.0371。实现了对老年人身体健康的实时监测，有效保护了老年人的健康问题。

Abstract:

With the acceleration of aging in our country, the issue of old-age care for the elderly has been widely concerned and valued by the society. Smart elderly care is widely used in nursing homes, but it is currently impossible to monitor the physical health status of every elderly person in real-time. To effectively solve the above problems, a ZigBee-based monitoring system for the signs of the elderly was designed. The system is divided into three main modules: data acquisition, network transmission and application analysis. In the system design, portable ECG sensors, respiratory wave sensors, body temperature sensors and heart rate sensors are used to collect the sign data of the elderly. The collected data is transmitted to the server through the ZigBee wireless sensor network, and then the data is processed by application software and algorithms. Analysis and management, thus ensuring that the physical information of the elderly in the nursing home is monitored in real time. The experimental results show that the functions of data collection, transmission, analysis and other modules of the terminal and various sensors designed by the system are realized, and the system analyzes the collected information to predict the health status of the elderly, and the prediction evaluation index RMSE is 0.0371. Real-time monitoring of the health of the elderly is realized, and the health problems of the elderly are effectively protected.