消除个体条件测量差异的动态光谱及其频域提取法的研究

Study on Dynamic Spectrum and Its Frequency Domain Extracting Method

在近红外光谱的皮肤无创检测中,个体差异是一个相当大的技术难题。在血液成分无创检测中,个体差异包括毛发、角质层、表皮、真皮、皮下组织、肌肉、骨骼等。研究表明,个体差异随着个体不同而不同,是阻碍血液成分无创检测技术实用化的重要因素。文章提出了基于光电容积脉搏波的产生机理和傅里叶变换的检测血液成分浓度的新方法———频域提取法,这种方法可以消除测量中由于皮肤组织和肌肉组织产生的差异;提出了动态光谱的概念,从理论和实验两个方面说明了这种方法的优点,并通过实验直接提取了各波长中仅由血液成分产生的吸光度光谱图,对于近红外光谱无创检测血液成分的实际应用有着重要意义。

For non-invasive blood components detection using near-infrared spectrum, eliminating the influence of the individual difference is very important. In the non-invasive component measurement, the individual discrepancy refers to the difference of personal feature in measured tissues except the pulsatile component of artery blood, including hairs, horny layer, subcutaneous tissue, muscle, skeleton etc. It is declared that the individual discrepancy is different from the personal feature; it is an important factor blocking the practice of the technology. In the present article, a new method of detecting blood components is presented, which is based on the principle of photoplethysmography and Fourier transform. With this method, the influence of individual difference caused by skin and other tissues can be mostly eliminated, and the absorbance of artery blood could be obtained. The concept of the frequency domain extracting method was presented. The experiment was done and the dynamic spectrum which only evaluates the pulsatile part of the entire optical signal was obtained. The advantage of dynamic spectrum with frequency domain extracting method is analyzed. The result shows that the method can be realized and has many advantages.