中文摘要：

糖尿病是严重威胁人类健康的慢性疾病之一,对其进行早期诊断尤为重要。由于糖尿病病程的发展会对血液中红细胞的结构和功能产生影响,因此利用红细胞荧光光谱在特征峰位和峰高等方面的差异性,可以对糖尿病状态进行诊断。在选取光谱信号的差异性作为特征向量方面,可以采用荧光光谱信号的非线性程度作为特征向量。为更好地描述荧光光谱信号的非线性,采用延迟向量方差（DVV）法描述信号的非线性程度。采用迭代幅度匹配傅里叶变换（IAAFT）法产生原始数据的替代数据,通过比较原始数据与替代数据的延迟向量方差确定原始数据的非线性特征。以原始数据目标方差为横坐标,以其替代数据目标方差为纵坐标,画出延迟向量方差散布图。健康大鼠红细胞荧光光谱的延迟向量方差散布图与其对角线几乎重合,说明健康大鼠红细胞荧光光谱非线性程度较低;而糖尿病大鼠红细胞荧光光谱的延迟向量方差散布图偏离其对角线,说明糖尿病大鼠红细胞荧光光谱非线性程度较高,并且氨基酸对应的光谱段非线性程度更深。据此,提出健康和糖尿病荧光光谱之间的非线性差异程度可以作为糖尿病早期诊断的特征之一。

英文摘要：

Diabetes mellitus is one kind of chronic diseases which seriously threaten human health.It is very important to diagnose in the early stage.With the development of diabetes,the structure and function of erythrocyte in the blood will change.So the peak position and peak height of erythrocyte fluorescence spectrum are different.These differences can be used to determine the status of diabetes.In the selection of the difference of spectral signal as the feature vector,the nonlinear degree of fluorescence spectrum can be used as the feature vector.In order to describe the nonlinearity of the fluorescence spectrum signal,the nonlinear degree of the signal is described with the delay vector variance（DVV）method.By using the method of iterative amplitude adjusted Fourier transformation（IAAFT）to generate surrogate data of raw data,the nonlinear characteristic of the raw data is determined by comparing the DVV of the original data and the surrogate data.The variance of the original data is the horizontal coordinates,and the variance of the surrogate data is the longitudinal coordinates,thus the DVV scatter plot is drawn.The DVV scatter plot of healthy rat erythrocyte fluorescence spectrum is almost coincident with its diagonal,which means the nonlinear degree of healthy rat erythrocyte fluorescence spectrum is lower.The DVV scatter plot of diabetic rat erythrocyte fluorescence spectrum deviates from its diagonal,which means the nonlinear degree of healthy rat erythrocyte fluorescence spectrum is higher,also the corresponding amino acid spectrum nonlinearity is deeper.Therefore,it is proposed that the nonlinear difference between the healthy and diabetic fluorescence spectrum can be used as a feature of early diabetes diagnosis.