一种近红外无创血糖检测中的脉搏波预处理方法  

Pulse wave pretreatment method applied to near-infrared blood glucose non-invasive measurement

作　　者：张杨[1] 朱健铭 陈真诚[2] 

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004 [2]桂林电子科技大学生命与环境科学学院,广西桂林541004

出　　处：《医疗卫生装备》2016年第6期1-7,共7页Chinese Medical Equipment Journal

基　　金：国家自然科学基金(61271119);国家科技支撑计划(2013BAI03B01);广西自动检测技术与重点实验室主任基金项目(YQ14116);广西高等学校科学研究项目(KY2015YB096)

摘　　要：目的:研究人体光电容积脉搏波提取动态光谱的方法,实现人体血糖浓度的无创伤检测。方法:采用自行研制的光电容积脉搏波采集系统采集人体脉搏波。针对采集到的原始信号中由于呼吸和系统噪声等影响产生的基线漂移和高频噪声,提出基于经验模态分解(empirical mode decomposition,EMD)结合软阈值去噪及三次样条插值法进行去噪的方法(即EMD-Spline法),并用信号的频谱进行算法效果评价。结果:该方法有效去除了原始脉搏波信号中的基线漂移和高频噪声。结论:该方法提高了血糖浓度测定的准确性,将促进近红外无创检测人体血糖浓度精度的提升。Objective To explore a dynamic spectrum method based on photoelectric volume pulse wave to detect human blood glucose concentration noninvasively.Methods A self-developed pulse wave acquisition system was used to collect human pulse wave.The baseline draft and high-frequency due to respiratory and system noises were eliminated by the empirical mode decomposition（EMD） combined with soft threshold denoising or EMD-Spline algorithm,and algorithm efficiency evaluation was carried out with signal spectrum.Results This method eliminated the original baseline drift and high frequency noise of pulse wave signal at the same time.Conclusion The method improves the precision of the final determination of blood glucose concentration and the accuracy of near-infrared spectroscopy in non-invasive detection of human blood glucose.

关 键 词：脉搏波信号 呼吸基线 高频噪声 经验模态分解 软阈值去噪 三次样条插值 

分 类 号：R587.1[医药卫生—内分泌]