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自适应滤波在近红外无创生化分析中的应用
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Application of adaptive filter to noninvasive biochemical examination by near infrared spectroscopy

摘    要
提出用血流容积差光谱相减法来消除近红外无创生化分析中组织背景的干扰。为提高光谱相减中所需获得的脉搏波近红外光谱信号的信噪比,研究了自适应滤波处理方法。介绍了最小均方算法(LMS)自适应滤波的基本原理,在此基础上提出了一种适用于处理本实验脉搏波光谱信号的自适应滤波方法;采用实验室自行研制的16元近红外脉搏波采集系统,获得人体脉搏波光谱信号;最后,利用提出的自适应滤波方法处理脉搏波光谱信号并分析其滤波效果。结果表明,利用该方法处理采集的脉搏波信号,可使血流容积光谱相减后血液光谱吸光度噪声由800 μAU降低至12 μAU,相邻波长的脉搏波相关系数由0.994 0提高至0.999 9。分析结果说明该自适应滤波方法可以有效地应用于近红外无创生化分析中。
标    签 自适应滤波   最小均方算法   脉搏波   近红外光谱   无创生化分析   adaptive filtering   Least Mean Square (LMS) algorithm   pulse wave   Near Infrared Spectroscopy(NIRS)   noninvasive biochemical examination  
 
Abstract
Subtracted blood volume spectrometry was employed to the noninvasive biochemical examination with near infrared spectroscopy(NIRS) to eliminate the influence of tissues.To raise the Signal to Noise Ratio(SNR) of the NIRS pulse wave signal needed by the spectral subtraction, an effective adaptive filter method was proposed to process the pulse wave signal. The principles of Least Mean Square(LMS) adaptive filter were described, and a new adaptive filtering way fit for the pulse wave signal of this experiment was proposed. Then, a 16-pixel near-infrared pulse wave acquisition system made by ourselves was used to collect the pulse wave signals of human body. Finally, the proposed adaptive filtering way was used to process the NIRS pulse wave signals and analyze the results. The result shows that the noise level of blood spectrum has reduced from 800 μAU to 12 μAU after spectral subtraction by using the proposed method, and the related coefficient of pulse wave of adjacent wavelength has raised from 0.994 0 to 0.999 9. The analysed result verifies that the method is effective in the NIR noninvasive biochemical examination area.

中图分类号 O657.33 Q503   DOI 10.3788/ope.20122004.0873

 
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所属栏目 信息科学

基金项目 国家自然科学基金资助项目(No.60878052,60938002,61078038);中国科学院知识创新工程领域前沿资助项目(No.Y00232Q100);应用光学国家重点实验室开放基金资助项目(No.Y1Q03FQ113)

收稿日期 2011/3/15

修改稿日期 2011/4/8

网络出版日期

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备注卢启鹏(1964-),男,黑龙江齐齐哈尔人,研究员,博士生导师,1987年于浙江大学获得学士学位,1990年于中国科学院长春光学精密机械与物理研究所获硕士学位,主要从事现代光谱技术与光谱仪器等方面的研究。

引用该论文: LU Qi-peng,CHEN Cong,PENG Zhong-qi. Application of adaptive filter to noninvasive biochemical examination by near infrared spectroscopy[J]. Optics and Precision Engineering, 2012, 20(4): 873~879
卢启鹏,陈丛,彭忠琦. 自适应滤波在近红外无创生化分析中的应用[J]. 光学 精密工程, 2012, 20(4): 873~879


被引情况:


【1】樊奕辰,卢启鹏,丁海泉,高洪智,陈星旦, "经验模态分解法在近红外无创血红蛋白检测中的应用研究",光谱学与光谱分析 33, 349-353(2013)

【2】高洪智,卢启鹏,丁海泉,陈思唯, "应用光程校正空间法提升近红外无创生化分析模型性能",光学 精密工程 21, 1974-1980(2013)

【3】高洪智,卢启鹏,丁海泉,彭忠琦, "基于随机抽样一致性算法的近红外光谱稳健模型研究",光学学报 33, 230001--1(2013)

【4】张晓枫,刘光达,辛桂杰,焦阳,徐国忠, "结合近红外光谱法的肝血流参数测量",光学 精密工程 20, 2140-2146(2012)

【5】董艳飞,卢启鹏,丁海泉,高洪智, "基于蒙特卡罗模拟的无创生化检测最佳探测距离的研究",光谱学与光谱分析 34, 942-946(2014)



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