摘要
为了解决现有心率检测仪抗干扰能力差以及功耗高的缺点,设计了一种智能型腕带式心率检测仪,通过将心率血氧模块佩戴在使用者的腕部来采集心率信号;将其经过调理和信号放大后,输入到硬件滤波电路中进行干扰杂波的初步过滤,并将过滤后的心率信号传输给STM32单片机;单片机接收到该心率信号后,采用软件滤波算法进行干扰杂波的二次过滤,并将心率信号转换为心率参数实时显示在液晶屏上,同时启动WiFi模块实现与OneNet云平台的连接,将心率参数传输给事先与云平台绑定的手机终端。测试结果表明,该腕带式心率检测仪能够实时显示心率,测量误差不超过3%,不仅具有较强的抗干扰能力,而且能够便携使用,具有较高的性价比,适用于家庭或社区的医学监护,具有一定的推广价值。
In order to overcome the shortcomings of poor anti-interference ability and high power consumption of the existing heart rate detector,an intelligent wristband heart rate detector is designed,which collects the heart rate signal by wearing the heart rate,blood oxygen module on the wrist of the user;after adjusting and amplifying the signal,it is input into the hardware filter circuit for preliminary filtering of interference clutter,and the filtered heart rate signal is transmitted.After receiving the heart rate signal,the MCU filters the interference clutter twice by software filtering algorithm,and converts the heart rate signal into heart rate parameters which are displayed on the LCD screen in real time.At the same time,the WiFi module is activated to connect with OneNet cloud platform,and the heart rate parameters are transmitted to the mobile phone terminal bound to the cloud platform in advance.The test results show that the wristband heart rate detector can display the heart rate in real time,and the measurement error is less than 3%.It not only has strong anti-interference ability,but also can be used portable,and has a high cost-effective ratio.It is suitable for family or community medical monitoring,and has certain popularization value.
作者
熊强强
尹建平
姚卫国
曾美琳
徐文磊
李柯
齐志艺
王宁
Xiong Qiangqiang;Yin Jianping;Yao Weiguo;Zeng Meiling;Xun Wenlei;Li Ke;Qi Zhiyi;Wang Ning(Nanchang Dan Xun Electronic Technology Co.,Ltd,Nanchang 330029,China;Nanchang Institute of Technology,Nanchang 330044,China;Jiangxi Vocational Technical College of Indusrty Trade,Nanchang 330038,China;Jiangling Motors Co.,Ltd,Nanchang 330001,China;Nanchang Hangkong University,Nanchang 330034,China)
出处
《国外电子测量技术》
2020年第2期88-92,共5页
Foreign Electronic Measurement Technology
基金
2018江西省高校教学改革研究课题(JXJG-18-25-3)
2019江西省教育科学规划课题(19YB251)项目资助.