›› 2017, Vol. 30 ›› Issue (9): 65-.

• 论文 • 上一篇    下一篇

穿戴式生理信号检测与分析系统的实现

张小满,石萍,喻洪流,许彦坤,郭明明   

  1. (上海理工大学 康复工程与技术研究所,上海200093)
  • 出版日期:2017-09-15 发布日期:2017-11-03
  • 作者简介:张小满(1992-),女,硕士研究生。研究方向:嵌入式系统及数字信号处理。

Implementation of Wearable Physiological Signal Detection and Analysis System

ZHANG Xiaoman,SHI Ping,YU Hongliu,XU Yankun,GUO Mingming   

  1. (Rehabilitation Engineering and Technology Research Institute,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2017-09-15 Published:2017-11-03

摘要:

系统实现了一种穿戴式生理信号检测与分析装置,可实现人体的基本生理参数实时检测。以STM32L152单片机为主控制器,AM2520与APDS-9008组成的光电传感器和MLX90615红外传感器作为核心采集模块,分别采集人体的PPG信号和皮温信号,并通过蓝牙模块HJ-580将数据传至安卓智能手机,用手机作为客户端实时显示心率、呼吸、皮温和心率变异性的结果。目前各模块已经PCB制板并调试完成,结果表明,该系统具有功能多样性、易穿戴等特点。

关键词: 穿戴式, 生理参数检测, STM32L152, 功能多样性, 心率变异性分析

Abstract:

This system implements a wearable physiological signal detection and analysis apparatus, it can realize basic physiological parameters real-time detection. With STM32L152 MCU as master controller, photoelectric sensor composed of AM2520 and APDS-9008 and infrared sensor MLX90615 as core acquisition module, the device can collect the bodys PPG signal and the skin temperature, this signals transfer to Android smart phones through the Bluetooth module HJ-580. Android smart phones, as a client, can display heart rate, respiration, skin temperature and heart rate variability. The results show that the system is functional diversity and easy to wear.

Key words: wearable devices;physiological signal detection;STM32L152;functional diversity;HRV analysis

中图分类号: 

  • TN219