以应变式传感器为核心的人体脉搏信号采集与处理  

Acquiring and processing of human pulse signal based on strain sensor

作　　者：夏明一[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033

出　　处：《江苏大学学报（自然科学版）》2016年第4期423-428,共6页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金资助项目(11302222)

摘　　要：针对人体脉搏信号采集时不客观及噪声源过多的缺点,以微振动测试技术为依据,研制了由计算机控制、以应变式传感器为核心的多路脉搏信号采集系统,该系统旨在在确定的取脉压力下,采集到多路清晰的脉搏信号.该系统以应变式传感器为核心,通过调节气囊控制取脉压力,探头与人体直接接触,可以直接采集多处位置微振动信号.同时由于人体微振动的信号特点,在不同的信号采集环境下,需要对信号进行分析处理.选择使用经验模式分解及小波分析对信号进行处理,提取了人体微振动信号中的有用信息.结果表明,在不同取脉压力的前提下,通过测试可得其分辨力在0.01 N以内,相对误差在5%以内,线性度5%,达到了预期的设计精度要求,相比压电材料具有更高的稳定性与静态精度.To solve the defects of lack objectivity and too much noise source of human pulse signal,based on micro-vibration measuring technique, a computer-controlled signal acquisition system was developed with strain sensor to acquire clear pulse signal at suitable pressure. Using the strain sensor as system core to adjust the pressure through air bag,the probe was directly contacted with human body to collect the micro-vibration signal. Under different environment,the signal should be processed to improve the signal quality. The micro-vibration signal was analyzed with empirical mode decomposition( EMD)and wavelet analysis to acquire accurate pulse signal. The results show that under different pulse taking pressure,the resolution can reach 0. 01 N,and the relative error is less than 5% with linear degree of5%. Compared to piezoelectric material,the strain sensor has higher stability and static accuracy.

关 键 词：微振动 脉图 应变式传感器 经验模式分解 小波分析 

分 类 号：O329[理学—一般力学与力学基础]