摘要
该文基于STM32单片机和滤波算法设计了实时监测心率和体温的可穿戴嵌入式健康监护系统。该系统由微处理器及数字系统模块、人机交互模块、信号采集模块和无线通信模块构成,以Cortex-M3为内核的STM32F103C8T6芯片作为处理器,采用OLED显示屏和按键实现人机交互,使用MAX30102传感器和Pulse sense传感器分别采集人体腕部心率和指尖心率数据。通过光电容积法采集人体心率信号,进行A/D转换,利用滤波算法去除噪声干扰,获得稳定可靠的心率值。通过Wi-Fi模块将采集到的生理参数信息上报至云服务器,并用手机端进行数据查看,实现医疗监护和远程居家隔离监测的功能。
This paper designs a wearable embedded health monitoring system for real-time monitoring of heart rate and body temperature based on STM32 single chip microcomputer and filtering algorithm. This system is composed of microprocessor and digital system module, man-machine interaction module, signal acquisition module and wireless communication module. STM32F103C8T6 chip with Cortex-M3 as the kernel is used as the processor and man-machine interaction is realized by OLED display screen and buttons. Human wrist heart rate and fingertip heart rate data are collected by MAX30102 sensors and Pulse sense sensors. The heart rate signal of a human body is collected by photoelectric volume method for A/D conversion, which is stable and reliable due to noise interference is removed by filtering algorithm. The collected physiological parameter information is transmitted to the cloud server through Wi-Fi module, and the medical monitoring and remote home isolation monitoring are achieved by the data checked to the mobile phone terminal.
作者
汪涛
田睿智
赵有明
张庆哲
张天畅
易茂祥
WANG Tao;TIAN Ruizhi;ZHAO Youming;ZHANG Qingzhe;ZHANG Tianchang;YI Maoxiang(National Model Institute of Microelectronics,School of Electronic Science and Applied Physics,Hefei University of Technology,Hefei 230009,China;School of Information Science and Technology,University of Science and Technology of China,Hefei 230027,China)
出处
《实验技术与管理》
CAS
北大核心
2021年第11期77-83,95,共8页
Experimental Technology and Management
基金
中央高校基本科研业务费专项资金项目(JD2020JGPY0010)
合肥工业大学2018年国家级大学生创新创业训练计划项目(201810359060)
安徽省质量工程项目(2017jyxm0037)
中国博士后科学基金项目(2020M671834)。
关键词
医疗监护
滤波算法
生理参数多点监测
数据采集
medical monitoring
filtering algorithm
physiological parameters multi-point monitoring
data acquisition
