Multi-dimensional Spectral Analysis for Biomedical Parameters

我们研究了提取光谱成分的相同的行为，通过采取每个波长的参数之间的相关性。在这种方法中，不需要预处理。但当参数大于2时，很难由人来判断特征。通过在多维空间中检测相关峰，可以实现对多参数复杂系统的光谱分析，模拟了强散射体中的光漫射现象。这是可能的，该技术报告进行了蒙特卡罗模拟，也是新的光谱信息。用紫外线照射皮肤，采集照射后的光谱数据，测定黑色素和血红蛋白的变化。进行了紫外线照射量变化实验，并对实验结果进行了分析，考察了在明胶模型上，从注射人皮肤前的色素颜色来评价注射后的视觉性能的技术，并进行了临床应用的尝试。

We studied to extract spectral components for the identical behavior by taking the correlation between each wavelength of the parameter. In this method the preliminary processing is unnecessary. Though it is difficult that the features are judged by the human when the parameter is over two. It is possible to carry out the spectrum analysis of the complicated system which followed many parameters only by detecting the peak of the correlation in the multidimensional space.The light diffusion in the strong scatterer was simulated like the human skin. It was possible that the technique reported carried out Monte Carlo simulation to which also newly took in spectroscopic information. The skin was irradiated with the ultraviolet ray, and spectral data of the post-irradiation were acquired, and the change of melanin and hemoglobin was measured. The experiment in which the ultraviolet ray quantity changed was carried out, and the result was analyzed.The technique which estimated the visual performance after the injection from the pigmentary color before it injects the human skin to the hypodermic on gelatine model and collected actually was examined, and the clinical application was tried.