基于“M+N”理论的近红外光谱血氧饱和度无创测量方法  

Near-infrared Spectra Noninvasive Measurement Method of Blood Oxygen Saturation Based on the“M+N”Theory

作　　者：李丽[1] 王晓飞[1] 卢恺[1] LI Li WANG Xiaofei LU Kai(School of Instrumentation Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing 100192, Ohina)

机构地区：[1]北京信息科技大学仪器科学与光电工程学院,北京100192

出　　处：《生物医学工程学杂志》2016年第5期885-889,共5页Journal of Biomedical Engineering

基　　金：国家科技支撑计划资助项目(2011BAI02B04)

摘　　要："M+N"理论是针对光谱分析提出的用于提高预测精度的一种理论方法。将被测量、M种非测量组分和N种外界干扰一同归于整个测量系统中,系统全面地考虑"M"因素和"N"因素对测量精度的影响。建立基于"M+N"理论的血氧饱和度人体试验系统,采用动态光谱法消除个体差异及不同测量部位("N"因素中的系统误差)对预测精度的影响;利用差值提取法消除运动伪差("M"因素中的随机误差),获得了62组有效样本数据。采取偏最小二乘法建模预测,预测值与真值的相关系数为0.796 8,相对误差为±0.026 6;而目前临床上普遍采用的血氧监护仪与真值的相关系数为0.595 7,相对误差为±0.076 0。表明基于"M+N"理论的近红外血氧饱和度无创测量方法其预测精度明显优于血氧监护仪。＂M＋N＂ theory can be used as a method to improve the prediction accuracy in spectral analysis. The measured component, M kinds of non-measurement component, and N kinds of outside interference are induced into the entire measuring system, with the impact of ＂M＂ factors and ＂N＂ factors on the measurement accuracy considered systematically and comprehensively. Our human experiment system testing blood oxygen saturation based on ＂M＋N＂ theory has been established. Dynamic spectrum method was used to eliminate the effects of different persons and different measuring parts which belonged to the system error of ＂N＂ factors. And then the D-value estimation was used to eliminate the effects of motion pseudo signal which belonged to the random error of ＂M＂ factors. Sixty two groups of valid data were obtained. The prediction model of blood oxygen saturation was built based on partial least squares regression method. The correlation coefficient and relative error were 0.796 8 and ±0.026 6, while the result of oximeter was 0.595 7 and relative error was ±0.076 0, respectively. The results show that the prediction accuracy of the measurement method based on the ＂M＋N＂ theory is much higher than that of the oximeter.

关 键 词：“M+N”理论 血氧饱和度 动态光谱法 差值提取法 偏最小二乘法 

分 类 号：R446.1[医药卫生—诊断学] O657.3[医药卫生—临床医学]