Study on the Application of Wavelet Transform to Non-invasive Glucose Concentration Measurement by NIRS

Xiaoli Li, Chengwei Li
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引用次数: 4

Abstract

Diabetes is one of the more common endocrine diseases. Non-invasive blood glucose measurement is a focus of research and development in the world. Using the near infrared transmission spectrum to measure the absorbance changes of blood glucose concentration, and choose the spectrum band contained glucose characteristic peak to set up the mathematical model, so as to obtain the blood glucose concentration. The precision and accuracy of the analysis results will be inevitably affected in case of using the original spectrum signal to make the quantitative analysis. Therefore, it is necessary to eliminate the noise in spectrum signals when using near infrared spectroscopy for quantitative detection. In this paper, the wavelet transform de-noising method is applied in non-invasive blood glucose concentration measuring to obtain the useful information.
小波变换在近红外光谱无创血糖测量中的应用研究
糖尿病是较为常见的内分泌疾病之一。无创血糖测量是当今世界研究和发展的热点。利用近红外透射光谱测量血糖浓度的吸光度变化,并选择含有葡萄糖特征峰的光谱波段建立数学模型,从而得到血糖浓度。利用原始频谱信号进行定量分析,不可避免地会影响分析结果的精密度和准确性。因此,在利用近红外光谱进行定量检测时,有必要消除光谱信号中的噪声。本文将小波变换去噪方法应用于无创血糖浓度测量中,获取有用信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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