太原理工大学学报2025，Vol.56Issue(3)：506-514,9.DOI:10.16355/j.tyut.1007-9432.20230631
基于LoRa的自组网健康监测系统
LoRa-based Self-organized Network Health Monitoring System
摘要
Abstract
[Purposes]With the development of low-power wide area networking technology and microsensors,they have been widely used in wearable devices,achieving better transmission of vital sign monitoring data.However,existing techniques such as Bluetooth and Wi-Fi have difficulties in networking in scenarios such as nursing homes and other multi-node network monitoring,and because of sensor volume limitations,blood pressure cannot be effectively monitored.In this article,an ad hoc network human vital sign detection system based on LoRa communication technology is designed and implemented.[Methods]After the system nodes solving the heart rate,blood oxygen,body tempera-ture,and human PPG waveform feature vector through local calculation,a self-organizing network was constructed by using the LoRa RF chip to upload multi-node data to the gateway and then to the server's network.The server used BP neural network to calculate blood pressure data,and the analy-sis results were synchronized to the node display through the monitoring network.[Results]The ex-perimental results show that the system can achieve normal communication among 7 node terminals,with a communication distance of up to 1.55 km,and physiological parameter errors within 5%.The blood pressure monitoring effect meets the blood pressure measurement standard of the American As-sociation for the Advancement of Medical Instrumentation(AAMI).[Conclusions]The prosoed sys-tem has broad application prospects in nursing,elderly care monitoring,and other scenarios.关键词
嵌入式设备/自组网/BP神经网络/健康监测Key words
embedded devices/ad hoc network/BP neural network/health monitoring分类
信息技术与安全科学引用本文复制引用
石皓宁,杨琨,桑胜波,阳佳,李晟嘉..基于LoRa的自组网健康监测系统[J].太原理工大学学报,2025,56(3):506-514,9.基金项目
中国航天科技集团有限公司创新基金资助项目(天科研[2021]397号) （天科研[2021]397号）
