光谱学与光谱分析, 2013, 33 (2): 459, 网络出版: 2013-03-27  

血液成分无创检测中基于不确定度的光谱提取方法

A Spectrum Extraction Method Based on Uncertainty in Noninvasive Blood Components Examinaton
作者单位
1 天津大学, 精密测试技术及仪器国家重点实验室, 天津300072
2 北京信息科技大学仪器科学与光电工程学院, 北京100192
摘要
近红外光谱血液成分无创检测技术发展至今已取得一系列进展。 为进一步提高检测精度, 基于动态光谱理论提出了一种改进的光谱提取方法: 首先拟合出漂移基线, 抑制了手指与夹具相对运动造成的影响; 然后以方和根代替峰峰值组成光谱, 减小了系统随机误差造成的影响。 最后以血氧饱和度测量为例, 对血氧饱和度系数Q进行不确定度分析, 结合实验数据的理论分析表明以方和根代替峰峰值可使不确定度下降至原先的38%。 在血氧饱和度检测实验中将改进后的方法与峰峰值法对比, 可得精度更高的血氧饱和度系数Q, 获得十组Q值的方差平均下降至原先的42%。 理论分析与实验结果均表明, 应用所提出的光谱提取方法可更加精确地从光电容积脉搏波中提取有效光谱, 在血液成分的无创检测中有着重要的价值。
Abstract
An improved spectrum extraction method is proposed based on the dynamic spectrum theory to improve the precision. First, the drift baseline is fitted to restrain the effect of relative motion between the finger and the probe. Then, the spectrum is extracted using the square-sum-root method as a replacement of the peak-peak value method to reduce the impact of system random error. Taking the measurement of oxygen saturation for instance, uncertainty analysis is performed for the oxygen saturation coefficient Q. Compared with the peak-peak value method, the square-sum-root method can reduce the uncertainty of oxygen saturation coefficient Q to 38% of the original value. Ten data sets were sampled from ten volunteers, and the uncertainty of the coefficient Q obtained using the two methods was directly evaluated and compared. The average ratio of the Q uncertainty by the two methods turned to be 42%. Both the theoretical analysis and the experimental results show that the square-sum-root method proposed can be used to extract the effective spectra more accurately from the photoplethysmography, suggesting a meaningful progress in noninvasive blood components measurement.

林凌, 熊博, 赵双琦, 刘桂礼, 王晓飞, 李刚. 血液成分无创检测中基于不确定度的光谱提取方法[J]. 光谱学与光谱分析, 2013, 33(2): 459. LIN Ling, XIONG Bo, ZHAO Shuang-qi, LIU Gui-li, WANG Xiao-fei, LI Gang. A Spectrum Extraction Method Based on Uncertainty in Noninvasive Blood Components Examinaton[J]. Spectroscopy and Spectral Analysis, 2013, 33(2): 459.

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