本文關(guān)鍵詞：自適應(yīng)濾波在近紅外無創(chuàng)生化分析中的應(yīng)用，由筆耕文化傳播整理發(fā)布。

摘要

由于采用血流容積差光譜相減法進(jìn)行近紅外無創(chuàng)生化分析得到的樣品光譜光程不定, 很難得到高性能的定標(biāo)模型, 本文提出采用光程校正空間法來消除光程差異, 提升定標(biāo)模型性能。首先, 介紹了凈信號分析的原理和校正空間的獲取方法; 根據(jù)血流容積差光譜相減法的特點(diǎn), 提出了采用光程校正空間獲取待測組分凈信號的方法。然后, 以含葡萄糖的脂肪乳溶液為例, 通過光程校正空間獲取葡萄糖凈信號, 建立定標(biāo)模型。實(shí)驗(yàn)結(jié)果表明: 相比沒有處理光程直接建立的定標(biāo)模型, 采用光程校正空間后所建立的模型相關(guān)系數(shù)(R)從0.978 1提升到0.997 7, 定標(biāo)均方根偏差(RMSEC)從77.52 mg/dL下降到25.02 mg/dL, 交叉驗(yàn)證均方根偏差(RMSECV)從93.01 mg/dL下降到68.22 mg/dL。結(jié)果顯示,采用光程校正空間的凈信號分析能夠有效抑制光程差異對定標(biāo)模型的影響, 為血流容積差光譜相減法的實(shí)際應(yīng)用奠定了基礎(chǔ)。

關(guān)鍵詞

Abstract

As the spectral pathlength obtained by spectral subtraction approach with different flow blood volumes is uncertain in a near-infrared noninvasive biochemical analysis, it is difficult to obtain a high performance calibration model. Therefore, a pathlength correction space method was proposed to eliminate the uncertain and to improve the performance of calibration. Firstly, the principle of Net Analyte Signal (NAS) and how to obtain a correction space were introduced. Then, a new approach to get NAS was proposed using the pathlength correction space according to the features of spectral subtraction approach. Finally, by taking the intralipid with different glucose concentrations for example, the NAS of glucose was acquired by using the pathlength correction space and a calibration model was established. Compared with the Partial Least Square(PLS) model without pathlength correction space, the correlation coefficient has been improved from 0.978 1 to 0.997 7, the Root Mean Square Error of Calibration (RMSEC) from 77.52 mg/dL down to 25.02 mg/dL, and the Root Mean Square Error of Cross Validation (RMSECV) from 93.01 mg/dL down to 68.22 mg/dL. The analysis result verifies that the pathlength correction space can effectively restrain the influence of different pathlengths and the method can set the stage for the practical application of the spectral subtraction approach with different flow blood volumes.

補(bǔ)充資料

中圖分類號：O433.1;O657.33

DOI：10.3788/ope.20132108.1974

所屬欄目：現(xiàn)代應(yīng)用光學(xué)

基金項(xiàng)目：國家863高技術(shù)研究發(fā)展計(jì)劃資助項(xiàng)目(No.2012AA022602);國家自然科學(xué)基金重點(diǎn)項(xiàng)目(No.60938002);中國科學(xué)院知識創(chuàng)新工程領(lǐng)域前沿資助項(xiàng)目(No.Y00232Q100);應(yīng)用光學(xué)國家重點(diǎn)實(shí)驗(yàn)室開放基金資助項(xiàng)目(No.Y1Q03FQ113)

收稿日期：2013-01-22

修改稿日期：2013-03-12

網(wǎng)絡(luò)出版日期：--

作者單位    點(diǎn)擊查看

高洪智：中國科學(xué)院 長春光學(xué)精密機(jī)械與物理研究所 應(yīng)用光學(xué)國家重點(diǎn)實(shí)驗(yàn)室, 吉林 長春 130033
盧啟鵬：中國科學(xué)院 長春光學(xué)精密機(jī)械與物理研究所 應(yīng)用光學(xué)國家重點(diǎn)實(shí)驗(yàn)室, 吉林 長春 130033
丁海泉：中國科學(xué)院 長春光學(xué)精密機(jī)械與物理研究所 應(yīng)用光學(xué)國家重點(diǎn)實(shí)驗(yàn)室, 吉林 長春 130033
陳思唯：吉林大學(xué) 化學(xué)學(xué)院, 吉林 長春 130012

聯(lián)系人作者：高洪智(ghonzi@163.com)

備注：高洪智(1984-), 男, 河南洛陽人, 博士, 助理研究員, 2005年于華中科技大學(xué)獲得學(xué)士學(xué)位, 2011年于中國科學(xué)院長春光學(xué)精密機(jī)械與物理研究所獲得博士學(xué)位, 主要從事光譜儀器、光譜技術(shù)方面的研究。

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引用該論文

GAO Hong-zhi,LU Qi-peng,DING Hai-quan,CHEN Si-wei. Improvement of model performance for near-infrared non-invasive biochemical analysis by pathlength correction space method[J]. Optics and Precision Engineering, 2013, 21(8): 1974-1980

高洪智,盧啟鵬,丁海泉,陳思唯. 應(yīng)用光程校正空間法提升近紅外無創(chuàng)生化分析模型性能[J]. 光學(xué) 精密工程, 2013, 21(8): 1974-1980

被引情況

【1】褚小立,陸婉珍. 近五年我國近紅外光譜分析技術(shù)研究與應(yīng)用進(jìn)展. 光譜學(xué)與光譜分析, 2014, 34(10): 2595-2605

【2】劉 瑾,蔡子晉,張紫楊,孫 迪,王 文. 光電容積脈搏波無創(chuàng)測量人體血液成分的評估. 光學(xué) 精密工程, 2016, 24(6): 1264-1271

  本文關(guān)鍵詞：自適應(yīng)濾波在近紅外無創(chuàng)生化分析中的應(yīng)用，由筆耕文化傳播整理發(fā)布。