| 小波变换在血糖浓度检测中的应用 |
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| 引用本文： | 刘则毅 唐国新 徐可欣. 小波变换在血糖浓度检测中的应用[J]. 天津大学学报(自然科学与工程技术版), 2004, 37(6): 535-539 |
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| 作者姓名： | 刘则毅 唐国新 徐可欣 |
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| 作者单位： | [1]天津大学理学院,天津300072 [2]南开大学-天津大学刘徽应用数学中心,天津300072 [3]天津大学精密测试技术及仪器国家重点实验室,天津300072 |
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| 基金项目： | 国家自然科学基金资助项目(30170261),国家"十五"攻关项目(BA706B 21),教育部科学技术研究重点项目,南开大学 天津大学刘徽应用数学中心资助项目. |
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| 摘 要： | 利用小波变换的时频局部变换特性对近红外光谱数据进行滤噪处理,能有效地从信号中提取有用信息,从而提高信号的信噪比,提高模型的预测精度和稳健性．将该方法应用于近红外血糖浓度测量的基础研究中,实验结果表明,校正模型的预测标准偏差(RMSEP)分别减少了53%和58%,这对于血糖浓度测量的研究具有一定的现实意义．
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| 关 键 词： | 小波变换 人体血糖浓度 稳健性 |
| 文章编号： | 0493-2137(2004)06-0535-05 |
| 修稿时间： | 2003-03-13 |
Application of Wavelet Transform in Fundamental Study of Measurement of Blood Glucose Concentration with Near-Infrared Spectroscopy |
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| LIU Ze-yi. Application of Wavelet Transform in Fundamental Study of Measurement of Blood Glucose Concentration with Near-Infrared Spectroscopy[J]. Journal of Tianjin University(Science and Technology), 2004, 37(6): 535-539 |
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| Authors: | LIU Ze-yi |
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| Abstract: | Because of its properties of time-frequency transform, the wavelet transform is an effective denoised method. With the pretreatment of spectra based on wavelet analysis, the spectra-to-noise ratio was greatly improved while the noise was suppressed effectively. It also improved the prediction precision and robust of the model. This method is applied to fundamental study of measurement of blood glucose concentration with spectroscopy. Experimental results show that the Root mean square error of prediction (RMSEP) of the calibration model reduces by 53% and 58% respectively. It is instructive for the study of the theory of measurement of blood glucose with spectroscopy. |
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| Keywords: | wavelet transform human blood glucose concentration robust |
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