摘要
设计了一种基于信号检测的腕式生理监测系统,嵌入一种基于循环自相关的信号检测算法,用于检测腕式生理监测系统的佩戴状态。依据信号质量参数,将信号标记为佩戴和不佩戴2种状态。佩戴状态时,计算并显示时间和脉率;不佩戴时,显示时间,脉率显示为0。实验表明:监测系统脉率显示更加精细、精准化。同时,将腕表与Phillip DB18进行了对比实验,脉率的准确度为±2 bpm。
A signal detection algorithm based on cyclic autocorrelation is designed for wrist-type monitoring system. According to quality of signal, signal is marked as wearing and un-wearing. When the state is wearing, time and pulse rate are computed and displayed, otherwise, the pulse rate is displayed zero and the time is displayed. Through comparison experiments with Phillip DB18 ,accuracy of pulse rate is ±2 bpm.
作者
徐志红
赵湛
XU Zhi-hong;ZHAO Zhan(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100190, China)
出处
《传感器与微系统》
CSCD
2018年第5期94-96,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61302033)
北京市自然科学基金资助项目(Z16003)
国家重点研发计划资助项目(2016YFC1304302)
关键词
腕式生理监测系统
血氧容积波
脉率
佩戴状态
wrist-type physiological monitoring system
photoplethysmography
pulse rate
state of wearing
