人体血液成分无创检测的动态光谱理论分析及实验研究
|
摘要
人体血液成分的无创检测是人们梦寐以求的愿望,它的实现会代替传统的有创检测方法,可以减轻很多病人的痛苦。但是,这项测量分析技术用于人体检测还有相当的距离,主要是由于近红外光谱技术受着多种因素的干扰,使得最终结果的检测精度在实际的应用中受到限制。在近红外光谱经皮无创检测中,个体差异对于吸光度的影响尚无法测量,因此设法消除皮肤组织及其皮下组织对于吸光度的影响,成为近红外光谱无创检测血液成分是否能够实施的关键。
本文首次以消除近红外光谱分析中个体差异为重点,进行了一系列研究:
①首次提出了基于光电容积脉搏波的产生机理和傅立叶变换的检测血液成分浓度的新方法--动态光谱的频域提取法,这种方法可以消除测量中由于皮肤组织和肌肉组织产生的大部分差异,从理论和实验两个方面说明了这种方法的优点,并通过实验直接提取了各波长中仅由血液成分产生的吸光度光谱图。该方法对于近红外光谱无创检测血液成分的实际应用有着重要意义。
②动态光谱的采集过程中,由于脉搏波的数据是动态光谱稳定的基础,因此处理好脉搏波数据是取得稳定动态光谱的关键,针对脉搏波采集过程中,信噪比相对较低,采集的信号受呼吸作用及其他干扰等影响较大,用传统的滤波方法难以去除此类噪声,本文首次提出了基于小波自适应神经网络的脉搏波去噪方法,大大改善了信号提取的精度。
③首次分别从积分时间、测量位置、测量压力、测量物体表面状况等方面探讨了提取动态光谱的最佳实验条件的问题。
④深入研究了光谱处理过程中的奇异点剔除问题,首次提出一种基于最小子集——自组织特征映射神经网络的稳健奇异点检测方法,来提高校正模型的稳健性。
⑤首次提出了一种在多变量数据中检测多奇异点的新方法,这种方法结合了矢量长度和自组织竞争网络的算法,是一种运用神经网络的稳健算法。运用这两种算法,光谱中的所有奇异点均可被检出,且结合了传统稳健算法与神经网络的优点。
⑥针对红外光谱图中信号重叠的特点,分析研究了重叠峰分辨的问题;针对建立模型的过程中波长选择对于模型的影响,首次提出了基于小波系数倍乘法--箱形图法的波长选择方法。此方法简单有效,可以有效地提高模型的预测精度。
⑦针对人体内成分无创近红外光谱测量中,动脉血液的散射对于动态光谱测量的影响的问题,首次提出了基于动脉血厚度变化的蒙特卡罗模型。并仿真研究人体内成分无创近红外光谱检测中动脉血管厚度变化及其他组织厚度变化时接受光能量的变化情况,并从实验方面做出了证明。
动态光谱为近红外光谱技术在无创人体内成分检测中提供了一个全新的思路,从理论上证明了它的可行性,具有广阔的发展前景,本文的研究成果为该方法的成功实施奠定了理论和实验基础。
good will of the human being. The realization of this method will replace the traditional invasive method. It will release the pain of many patients. But it is very difficult to use this technology to the clinic, for the near infrared spectrum is disturbed by many factors, and the precision of the final result is restricted. In the NIR non-invasive detection, it is very hard to measure the influence of the individual to the spectrum, so it is the key of the NIR non-invasive detection whether it can eliminate the influence of the skin and other tissues.
In this dissertation, a series of reasearch is taken which focus on eliminating the influence of the skin and other tissues:
①In this dissertation, the approach of the Dynamic Spectrum in the frequency domain was first proposed, it is based on Photo-plethysmography (PPG) with fast Fourier transforms. Evaluating only the pulsatile part of the entire optical signal, this approach is rather independent of individual or time changes in scattering or absorption characteristics of the tissue. In this dissertation, a series of measures is taken, and high-precision Dynamic Spectrum in the frequency domain is got with the experiment. The approach of the Dynamic Spectrum is verified and this approch is very important in the non-invasive detection of blood.
②The pulsatile spectrum is the base of the Dynamic Spectrum. In the course of collecting the pulsatile spectrum signal in vivo, it is inevitable to be interfused with yawp signals as respiration,high frequency interference, baseline drift and so on. Using the traditional adaptive filter, it is very difficult to collect the reference signal from the in vivo experiment. In this dissertation, Daubechies wavelet adaptive filter based on Adaptive Linear Neuron Networks is used to extract the signal of the pulse wave. This method can get better result than nonparametric results. This filter is found to be very effective in detection of symptoms from pulsatile part of the entire optical signal.
③In this dissertation, the best experiment condition by which to extract the Dynamic Spectrum is discussed, it is discussed from the measurement position, integrate time, the contact press and the superficial condition respectively.
④The outlier detection of the near infrared spectrum is reasearched deeply. Anew method to detect multiple outliers in multivariate data is first proposed in this dissertation. This method is the combination of Minimum subsets, Resampling and Self-organizing Map algorithm.
⑤And in this dissertation we proposed another new method to detect multiple outliers in multivariate data in the NIR chemistry measurements research. That is the combination of Vector Length and Competitive Network. It is a robust way with Neural Network.
The result of the experiment shows that the two method are simple, effective, intuitionistic and all the outliers in the spectrum can be detected in a short time. The two methods combined the advantage of the traditional robust method and the Neural Network.
⑥In the NIR spectrum, the signal is overlapped, the peak of the spectrum is indistinct, and in this dissertation, the problem of overlapping peak is researched. For the influence of the wavelength selection to the model, the multiple of wavelet coefficient– box figure method is proposed. This method is simple and can improve the precision of the model.
⑦In the research of non-invasive blood component concentration measurement, the influence of the scattering behavior of the blood on the measurement of the Dynamic Spectrum is discussed. In this dissertation, Monte Carlo method is used to analyses the scattering behavior of the blood, the influence of the scattering behavior of the skin tissue to the scattering behavior of the blood, and their influence to the Dynamic Spectrum.
The Dynamic Spectrum method proposed a new idea to the NIR non-invasive detection.The feasibility of the technology is proved in theory. It has great value in this field. Theory and experimental results disclosed by this dissertation laid solid basis for the successful application of this method.
本文首次以消除近红外光谱分析中个体差异为重点,进行了一系列研究:
①首次提出了基于光电容积脉搏波的产生机理和傅立叶变换的检测血液成分浓度的新方法--动态光谱的频域提取法,这种方法可以消除测量中由于皮肤组织和肌肉组织产生的大部分差异,从理论和实验两个方面说明了这种方法的优点,并通过实验直接提取了各波长中仅由血液成分产生的吸光度光谱图。该方法对于近红外光谱无创检测血液成分的实际应用有着重要意义。
②动态光谱的采集过程中,由于脉搏波的数据是动态光谱稳定的基础,因此处理好脉搏波数据是取得稳定动态光谱的关键,针对脉搏波采集过程中,信噪比相对较低,采集的信号受呼吸作用及其他干扰等影响较大,用传统的滤波方法难以去除此类噪声,本文首次提出了基于小波自适应神经网络的脉搏波去噪方法,大大改善了信号提取的精度。
③首次分别从积分时间、测量位置、测量压力、测量物体表面状况等方面探讨了提取动态光谱的最佳实验条件的问题。
④深入研究了光谱处理过程中的奇异点剔除问题,首次提出一种基于最小子集——自组织特征映射神经网络的稳健奇异点检测方法,来提高校正模型的稳健性。
⑤首次提出了一种在多变量数据中检测多奇异点的新方法,这种方法结合了矢量长度和自组织竞争网络的算法,是一种运用神经网络的稳健算法。运用这两种算法,光谱中的所有奇异点均可被检出,且结合了传统稳健算法与神经网络的优点。
⑥针对红外光谱图中信号重叠的特点,分析研究了重叠峰分辨的问题;针对建立模型的过程中波长选择对于模型的影响,首次提出了基于小波系数倍乘法--箱形图法的波长选择方法。此方法简单有效,可以有效地提高模型的预测精度。
⑦针对人体内成分无创近红外光谱测量中,动脉血液的散射对于动态光谱测量的影响的问题,首次提出了基于动脉血厚度变化的蒙特卡罗模型。并仿真研究人体内成分无创近红外光谱检测中动脉血管厚度变化及其他组织厚度变化时接受光能量的变化情况,并从实验方面做出了证明。
动态光谱为近红外光谱技术在无创人体内成分检测中提供了一个全新的思路,从理论上证明了它的可行性,具有广阔的发展前景,本文的研究成果为该方法的成功实施奠定了理论和实验基础。
good will of the human being. The realization of this method will replace the traditional invasive method. It will release the pain of many patients. But it is very difficult to use this technology to the clinic, for the near infrared spectrum is disturbed by many factors, and the precision of the final result is restricted. In the NIR non-invasive detection, it is very hard to measure the influence of the individual to the spectrum, so it is the key of the NIR non-invasive detection whether it can eliminate the influence of the skin and other tissues.
In this dissertation, a series of reasearch is taken which focus on eliminating the influence of the skin and other tissues:
①In this dissertation, the approach of the Dynamic Spectrum in the frequency domain was first proposed, it is based on Photo-plethysmography (PPG) with fast Fourier transforms. Evaluating only the pulsatile part of the entire optical signal, this approach is rather independent of individual or time changes in scattering or absorption characteristics of the tissue. In this dissertation, a series of measures is taken, and high-precision Dynamic Spectrum in the frequency domain is got with the experiment. The approach of the Dynamic Spectrum is verified and this approch is very important in the non-invasive detection of blood.
②The pulsatile spectrum is the base of the Dynamic Spectrum. In the course of collecting the pulsatile spectrum signal in vivo, it is inevitable to be interfused with yawp signals as respiration,high frequency interference, baseline drift and so on. Using the traditional adaptive filter, it is very difficult to collect the reference signal from the in vivo experiment. In this dissertation, Daubechies wavelet adaptive filter based on Adaptive Linear Neuron Networks is used to extract the signal of the pulse wave. This method can get better result than nonparametric results. This filter is found to be very effective in detection of symptoms from pulsatile part of the entire optical signal.
③In this dissertation, the best experiment condition by which to extract the Dynamic Spectrum is discussed, it is discussed from the measurement position, integrate time, the contact press and the superficial condition respectively.
④The outlier detection of the near infrared spectrum is reasearched deeply. Anew method to detect multiple outliers in multivariate data is first proposed in this dissertation. This method is the combination of Minimum subsets, Resampling and Self-organizing Map algorithm.
⑤And in this dissertation we proposed another new method to detect multiple outliers in multivariate data in the NIR chemistry measurements research. That is the combination of Vector Length and Competitive Network. It is a robust way with Neural Network.
The result of the experiment shows that the two method are simple, effective, intuitionistic and all the outliers in the spectrum can be detected in a short time. The two methods combined the advantage of the traditional robust method and the Neural Network.
⑥In the NIR spectrum, the signal is overlapped, the peak of the spectrum is indistinct, and in this dissertation, the problem of overlapping peak is researched. For the influence of the wavelength selection to the model, the multiple of wavelet coefficient– box figure method is proposed. This method is simple and can improve the precision of the model.
⑦In the research of non-invasive blood component concentration measurement, the influence of the scattering behavior of the blood on the measurement of the Dynamic Spectrum is discussed. In this dissertation, Monte Carlo method is used to analyses the scattering behavior of the blood, the influence of the scattering behavior of the skin tissue to the scattering behavior of the blood, and their influence to the Dynamic Spectrum.
The Dynamic Spectrum method proposed a new idea to the NIR non-invasive detection.The feasibility of the technology is proved in theory. It has great value in this field. Theory and experimental results disclosed by this dissertation laid solid basis for the successful application of this method.
引文
[1]Jobsis F F,Noninvasive infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters,Science,1977,198:1264-1267
[2]Cameron B D.,Cote G L,Polarimetric detection of chiral chemicals in biological fluids, Proceedings of SPIE,1997,2982:308-313
[3]Kanger J S,de Mul frits F.M.,Otto C.,Non-invasive detection of glucose using Raman spectroscopy,Proceedings of SPIE,1999,3570:123-129
[4]Bednov A A,Karabutov A A,Savateeva E V,et al.,Monitoring glucose in vivo by measuring laser-induced acoustic profiles,Proceedings of SPIE,2000,3916:9-18
[5]Bruulsema J T,Hayward J E, Farrell T J,et al., Correlation between blood glucose concentration in diabetics and noninvasively measured tissue optical scattering coefficient,Potics Letters,1997,22(3):190-192
[6]Herschel W.,Investigation of the Powers of the prismatic Colours to heat and illuminate Objects; with Remarks that prove the different Refrangibility of radiant Heat.To which is added an Inquiry into the Method of viewing the Sun advantageously with Telescopes of large Apertures and high magnifying Powers, Philosophical Transactions,1800,90:255-326
[7]Abney W.,Festing,E.R., On the Influence of the Atomic Grouping in the Molecules of Organci Bodies on their Absorption in the Infra-Red Region of the Spectrum,Philosophical Transactions,1881,172:887
[8]F.S.Brackett,Proc.Natl.Acad.Sci.1928,14:857
[9]W.Kaye,Theory and principles of near infrared spectroscopy,Spectrochin Acat, 1955,7:181
[10]Ben-Gera I.,K.H.Norris,Direct spectrophotometric determination of fat and moisture in meat products Journal Food Science,1968,33:64
[11]G Abraham,P Gabor,A.C.Sidney,Near Infrared Spectroscopy:The Future Waves,NIR Publications,1996,323-327
[12]M Kathlen,Ner Infrared Spectroscopy: The Future Waves,NIR Publications,1996,328-333
[13]J.Tong,M.Meurens,and H.Noel,Near Infrared Spectroscopy: The Future Waves,NIR Publications,1996,334
[14]Watanabe Eiju,Yamashita Yuichi,Maki Atsushi,ET AL.,Cerebral blood flow measurement during epilepsy using multi-channel near infra-red spectroscopic topography, Neuroscience Research,1997,28(Supplement 1):300
[15]Yoxall C.W.,Weindling A.M.,Measurement of peripheral venous oxyhaemoglobin saturation by near infra red spectroscopy and venous occlusion ,Early Human Development,1995,41(3):231
[16]Vályi-Nagy István,Kaffka Károly J.,Jákó János M.et al.,Application of near infrared spectroscopy to the determination of haemoglobin,Clinica Chimica Acta,1997,264(1):117-125
[17]李庆波,徐可欣,血糖无创伤光学检测的进展,世界医疗器械,2002,8(7):56-59
[18]Claus D?hne,Spectrophotometric method and apparatus for the non-invasive,U.S.A,4655225,1987-04-07
[19]Rorbert D.Rosenthal,Non-invasive measurement of Blood Glucose,U.S.A,5028787,1991-01-02
[20]Kevin H.Hazen,Mark A.Arnold,Gary W.Small,Temperature-Insensitive Near-Infrared Spectroscopic Measurement of Glucose in Aqueous Solutions,Applied Spectroscopy,1994,48(4):477-483
[21]Mark A.Arnold,Gary W Small, Determination of Physiological Levels of Glucose in an Aqueous Matrix with Digitally Filtered Fourier Transform Near-Infrared Spectra,Analytical Chemistry,1990,62(14):1457-1464
[22]Russell H.Barnes Non-invasive Determination of Glucose Concentration in Body of Patients,U.S.A,5070874,1991-12-10
[23]Stephen.F.Malin,Timothy.L.Ruchti,Thomas B.Blank,et al,Non-invasive Prediction of Glucose by Near-Infrared Diffuse Reflectance Spectroscopy,Clinical Chemistry,1999,45(9):1651-1658
[24]丸尾胜彦,Glucose 浓度的定量方法及装置,日本,特开平 10-325794,1998-12-08
[25]M.Cope,P.Van der Zee,M.Essenpreis,S.R.Arridge,and D.T.Delpy, Methods of uantitating near-infrared spectroscopy data, Pro.SPIE 1991,1431:107-26
[26]C.A.Piantadosi,Methods Toxicol. 1993,2:107-26
[27]A.Seiyama,O.Haxeki,and M.Tamura, Noninvasive quantitative analysis of blood xygenation in rat skeletal muscle,J,Biochem,1988,103:419-24
[28]O.Hazeki and M.Tamura,Quantitative analysis of hemoglobin state of rat brain by ear-infrared spectroscopy,J.Biochem,1988,103:796-802.
[29]K.Yamamoto,M.Niwayama,L.Lin,T.Shiga,N.Kudo,andK.Shimizu, Influence of ubcutaneous fat layer on muscle oxygenation measurement using NIRS,Selected Proceedings from International Symposium on Non-invasive Ppticsl Diagnosis, 1996,7-45.
[30]Schrader.Wolfgang,Meuer.Petra,Popp.Jürgen,et.al.Non-invasive glucose determination in the human eye.Journal of Molecular Structure, 2005,Vol.735-736,299-306
[31]M Tarumi, M Shimada, T Murakami,et al.Phys. Med. Biol.,2003,48 : 2373-2390
[32]Olesberg JT, Liu LZ, Van Zee V, et al.In vivo near-infrared spectroscopy of rat skin tissue with varying blood glucose levels. Conference on Optical and Diagnostics and Sensing IV, 2004,OPTICAL DIAGNOSTICS AND SENSING IV : 11-20
[33]Xu KX,Qiu QJ,Wang WB,et al. The interface between probe and skin in non-invasive glucose sensing 2002 Saratov Fall Meeting,2002,OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE IV : 104-111
[34]Robinsin M R, Eaton R P ,Haaland D M,et al.Noninvasive glucose monitoring in diabetic patients: a preliminary evaluation ,Clin.Chem.,1992,38:1618-1622
[35]Heise H M,Bittner A,Multivariate calibration for physiological samples using infrared spectra with choice of different intensity data, J.Mol.Structl,1995,348:127-130
[36]Amerov, et al., Method and device for non-invasive blood glucose measurement, Proceedings of SPIE,1999,3599:33-42
[37]Saptari,et al.,Sensitivity analysis of near infrared glucose absorption signals:Toward noninvasive blood glucose sensing, Proceedings of SPIE,2000,4136:45-54
[38]Gowda,et al., Development of an implantavle skin port sensor for use as an in vivo optical glucose sensing platform, Proceedings of SPIE-The International Society for Optical Engineering,2001,4236:11-19
[39]Alam M.Kathleen,et al. Appl. Spectrosc., 1999:53(3),316.
[40] Hall J W, Pollard A. J. Near-infrared Spectrosc.,1993:1(3),127-132.
[41] Domjan G, Kaffka K J, Jako J M, et al. J. Near-infrared Spectrosc., 1994:2(2),67-78.
[42]Wuori ER, Gmitter MB, Non-invasive in-vivo monitoring of total blood hemoglobin.Conference on Optical Diagnostics and Sensing in Biomedicine III, 2003,OPTICAL DIAGNOSTICS AND SENSING IN BIOMEDICINE III : 160-167
[43]K. Murayama, K. Yamada, R. Tsenkova ,et al.,Near-infrared spectra of serum albumin and g-globulin and determination of their concentrations in phosphate buffer solutions by partial least squares regression,Vibrational Spectroscopy,1998,18:33–40
[44]Shun-Li Wang, Yen-Shan Wei, Shan-Yang Lin,Subtractive similarity method used to study the infrared spectra of proteins in queous solution,Vibrational Spectroscopy.2003,31:313–319
[45]Ge′rard De′le′ris, Cyril Petibois,Applications of FT-IR spectrometry to plasma contents analysis and monitoring, Vibrational Spectroscopy.2003,32:129–136
[46]Mcshane J Michael, Cote L Gerard . Appl. Spectrosc., 1998:52(8),1073-1076.
[47]Tanaka K, Tanikawa Y, Araki R, et al.Optical property measurement of thin superficial tissue by using time-resolved spectroscopy,Conference on Diagnostic Optical Spectroscopy in Biomedicine II, 2003,DIAGNOSTIC OPTICAL SPECTROSCOPY IN BIOMEDICINE II : 315-324
[48]Crespi F, Donini M, Bandera A,et al. Near infrared oxymeter prototype for non-invasive analysis of rat brain oxygenation,Proceedings of SPIE - The International Society for Optical Engineering, 2004, 5459:38-45
[49]Chung H , Mark A Arnold, Martin Rhiel,et al. Appl. Spectrosc., 1996:50(2),270-276.
[50]Li Yue et al. J. Near-infrared Spectrosc.,1999(7),101-108.
[51]Spanner G,Niessner R.,Fresenius J.,Anal. Chem., 1996:355(3-4),327-328.
[52]Raber Peter E, Santman Jeff. WO Patent No.9725915 Al,1997.
[53]Mueller U A, Mertes B, Fischbacher C, et al. Int. J. Artif. Organs, 1997: 20(5),285-290.
[54]Toshiyasu Tarumi, Gary W S. On-line Glucose Monitoring Using Near Infrared Spectroscopy, Pittcon 2000,319.
[55]Kenneth A S, David R M, Eric O F,et al. Appl. Spectrosc., 1999,53(3),325.
[56]Lim M, Jackson T, Anfinrud P. J. Phys. Chem., 1996:100(29),12043-51.
[57]Dreassi E, Ceramelli G, Fabbri L, et al. Analyst, 1997: 122(8), 767-776.
[58]Kathleen Martin. Appl. Spectrosc.,1998:52(7),1001-1007.
[59]黄岚,丁海曙,王广志.用近红外漫反射光谱无损检测血糖的初步研究,光谱学与光谱分析,2002,22(3):387-391
[60]许棠,张春平,王新宇等,用 CCD 测量生物组织的漫反射率和透射率.光谱学与光谱分析.2004,24(4):392-395
[61]余江胜,骆清铭,阮玉,时间分辨技术测量高散射介质光学参量,光子学报. 2003, 32(7):860-863
[62]余江胜,骆清铭,阮玉,新型门控光子计数法测量高散射介质的光学参量.光学学报.2003,23(10):1269-1272
[63]王峰,李炜,林方等,用近红外光谱技术实现生物组织含氧量的无损检测,清华大学学报自然科学版,1999,39(7):16-19
[64]莫希,孙树星,余修海等,人体血糖浓度连续、无创、定量检测的数理模型,生物医学工程学杂志,1991,8(2):137-142
[65]陈华才 ,杨仲国 ,李惠英 ,陈星旦,人血清中胆固醇近红外光谱快速检测初步研究,激光生物学报,2OO4,13(6):429～432
[66]Markolf H N 著,张镇西译,激光与生物组织的相互作用—原理及应用,西安:西安交通大学出版社,1999,45-120
[67]罗志昌,张松,光电容积脉搏波描记法原理及其在临床上的应用,世界医疗器械.2000,6(9):41-47
[68]Uretzky G.et al,Elastic Paoperties of blood Vessels detemined by photoelectric PlethysmoGraphy,Angiology,1978:28
[69]孙文青,光电容积脉搏波的 FFT 分析与研究,苏州大学学报,自然科学版,1996,12(1):50-54
[70] Lafrance Denis, Lands Larry C, Burns David H. Measurement of lactate in whole human blood with near-infrared transmission spectroscopy. Talanta , 2003, 60(4): 635-640.
[71] Rosen Noah A, Charash William E, Hirsch Erwin F.Near-Infrared Spectrometric Determination of Blood pH.Journal of Surgical Research. 2002, 106(2): 282-286.
[72] da Costa Filho Paulo A, Poppi Ronei J. Determination of triglycerides in human plasma using near-infrared spectroscopy and multivariate calibration methods[J]. Analytica Chimica Acta 2001, 446(1-2):39-47.
[73] Nahm W.,Gehring H,Non-invasive in vivo measurement of blood spectrum by time-resolved near-infrared spectroscopy, Sensors and Actuators, B: Chemical, 1995,B29: 174-179
[74]Niwayama. M., Shiga, T., Lin, L.et al. Correction of the influences of a subcutaneous fat layer and skin in a near-infrared muscle oximeter, Engineering in Medicine and Biology Society, 1998, Proceedings of the 20th Annual International Conference of the IEEE ,4:1849-1850
[75]丁海曙, 王峰等,光谱学与光谱分析,2001,21(2):155-159.
[76]Kexin Xu, Yanhui Lu, Qingbo Li,et al.Path length selection method for quantitative analysis with near-infrared spectroscopy,Proc. SPIE Int. Soc. Opt. Eng. 2004,5486:100
[77]Korolevich Alexander N, Meglinsky Igor V. Experimental study of the potential use of diffusing wave spectroscopy to investigate the structural characteristics of blood under multiple scattering. Bioelectrochemistry and Bioenergetics, 2000, 52(2): 223-227
[78]J.P.Payne, J.W.Severinghaus, Pulse Oximetl3', Springer, Berlin, 1986.
[79]熊政纲,罗建清.实用预防医学,2003,10(2):258-259
[80]林理忠,宋敏,微弱信号检测学导论,北京:中国计量出版社,1996
[81]杨福生,小波变换的工程分析与应用,北京:科学出版社,1999
[82]李建平,小波分析与信号处理—理论、应用及软件实现,重庆:重庆出版社,1997
[83]DAUBECHIES I.The wavelet transform,time-frequceny localization and signal.IEEE Trans,1990,IT-36(5):961-1005
[84]MALLAT S.A theory for multiresolution signal decomposition,the wavelet representation.IEEE Trans,1989 On PAMI-11(7):674-693.
[85]MALLAT S.Multiresolution approximation and wavelet orthonormal bases of L 2,Trans Amer Math Soc,1989,315:69-87.
[86]胡昌华,张军波,夏军等,基于 MATLAB 的系统分析与设计—小波分析,西安:西安电子科技大学出版社,1999
[87]沈福民,自适应信号处理,西安:电子科技大学出版杜,2001
[88]Maertens.K., Reyns. P., De Baerdemaeker, J.Double adaptive notch filter for mechanical grain flow sensors. Journal of Sound and Vibration ,2003, 266(3):645-654
[89]Ping. Li, Fang. M.T.C., Lucas. J. Modeling of submerged arc weld beads using self-adaptive offset neutral networks. Journal of Materials Processing Technology,1997,71(2):288-298
[90]A.Lorber,B.R.Kowalski,Estimation of prediction error for multivariate calibration, Journal of Chemometrics,1988,2:93～109
[91]Andrew J Berger,Michael S Feld,Analytical Method of Estimating Chemometric Prediction Error,Applied Spectroscopy,1997,51(5):725～731
[92]李庆波,近红外光谱分析中若干关键技术的研究:[博士学位论文],天津:天津大学,2002
[93]Kubo Hiroko,Mitsumura Yoshio,Uenoyama Harumi,Xu Kexin,Method and apparatus for measuring concentration by light projection,U.S.Patent,6147749,Nov.14,2000
[94]蒋景英, 人体内成分无创光谱检测中测量条件的研究:[博士学位论文],天津:天津大学,2002
[95]Chan E K,Sorg B,Protsenko D,et al.,Effects of compression on soft tissue optical properties,IEEE Journal on Selected Topics in Quantum Electronics,1996,2:943～950.
[96]Shangguan H,Prahl S A,Jacques S L,et al.,Pressure effects on soft tissues monitored by changes in tissue optical properties,in Laser-Tissue Interaction IX,S.L.Jacques Ed.,Proc.SPIE 1998,3254:366～371.
[97]陈奎孚,焦群英,高小榕,谱峰法的窗函数选择,中国农业大学学报,1997,2(4):21～27
[98]戴先中,唐统一,周期信号谐波分析的一种新方法,仪器仪表学报,1989,10(3):248～255
[99]何岭松,熊鹰,用双窗法减小 FFT 谱分析估算误差,振动与冲击,2001,20(2):49～52。
[100]H.Willard,L.Merritt,J.Dean,Instrumental Methods of Analysis,USA:Wadsworth,1981,73～75.
[101] Xu KX,Yamasaki Yutaka,Uenoyama Harumi,et al., Apparatus and method for optically measuring concentrations of components, United States Patent,5602647,Feb.11,1997
[102]汪曣，卢延辉等，光程长对光谱测量误差的影响,天津大学学报:自然科学与工程技术版.2004,37(10):906-909。
[103]Jagemann K,Fischbacher C,Danzer K,et al.Application of near-infrared spectroscopy for non-invasive determination of blood/tissue glucose using neural networks,Z Phys Chem,1995,191:179～190
[104]Malin S F,Ruchti T L,Blank T B,et al.The noninvasive measurement of glucose by near-infrared diffuse reflectance spectroscopy,Clin Chem.,1999,45:1651～1658
[105]Hazen K H,Glucose determination in biological matrices using near-infrared spectroscopy,PhD Dissertation,Iowa City,IA:University of Iowa.1995,315
[106]Heise H M,Marbach R,Koschinsky T H,etal.Noninvasive blood glucose sensors based on near-infrared spectroscopy,Artif.Organs.,1994,18:439～447
[107]Marbach R,Koschinsky T H,Gries F A, et al.Noninvasive blood glucose assay by near-infrared diffuse reflectance spectroscopy of the human inner lip,Appl Spectrosc.,1993,47:875～881
[108]Burmeister J J,Arnold M A,Evaluation of measurement sites for noninvasive blood glucose sensing with near-infrared transmission spectroscopy,Clin.Chem.,1999,45:1621～1627
[109]陈文亮,刘蓉,崔厚欣,无创血糖测量的测量界面稳定性研究, 光电子.激光.2004,15(2):242-245,254
[110]Uretzky G.et al.Elastic Propertise of blood Vessels determined by photoelectric plethysmography.Angiology,1978:28
[111]包任尧等,正常人与神经系统血管疾患病人指容波的测定,神经精神疾病杂志,1981:7(1):1
[112]Giltvedt, J. Sira, A.; Helme, P. , Pulsed multifrequency photoplethysmograph,Medical & Biological Engineering & Computing, v 22, n 3, May 1984, p 212-15。
[113]Sherebrin, M.H. , Sherebrin, R.Z. Frequency analysis of the peripheral pulse wave detected in the finger with a photoplethysmograph. IEEE Transactions on Biomedical Engineering, 1990, 37(3):314-17
[114]Khanokh, B. , Slovik, Y.; Landau, D.; Nitzan, M. Sympathetically induced spontaneous fluctuations of the photoplethysmographic signal. Medical & Biological Engineering & Computing, 2004, 42(1):80-5
[115]Barschdorff, Dieter , Zhang, Wei, Respiratory rhythm detection with photoplethysmographic methods,Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 1994, 16(2):912-913
[116]Johansson, A., Neural network for photoplethysmographic respiratory rate monitoring, Medical & Biological Engineering & Computing, 2003,41(3): 242-8
[117]Teng, X.F., Zhang, Z.T. The effect of contacting force on photoplethysmographic signals, Physiological Measurement, 2004,25(5):1323-35
[118]Ugnell, H. , The respiratory synchronous photoplethysmographic signal. Its dependence on light wavelength and sample volume,Medical & Biological Engineering & Computing, 1996, 34(1):275-6
[119]Buchs, A. , Slovik, Y., Rapoport, M., Rosenfeld, C., Khanokh, B., Nitzan, M., Right-left correlation of the sympathetically induced fluctuations of photoplethysmographic signal in diabetic and non-diabetic subjects,Medical & Biological Engineering & Computing, 2005, 43(2):252-7
[120]Allen, J. ,Murray, A., Comparison of regional variability in multi-site photoplethysmographic pulse wave characteristics,First International Conference on Advances in Medical Signal and Information Processing 2000,476:26-31
[121]Allen, J., Murray, A., Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites,Physiological Measurement, 2003, 24(2): 297-307
[122]陆婉珍,袁洪福,徐广通,现代近红外光谱分析技术,北京:中国石化出版社,2000
[123]梁逸曾,俞汝勤,化学计量学,北京:高等教育出版社,2003
[124]H. Martens, T. N?s, Multivariate Calibration, Wiley, New York, 1989.
[125]王惠文,偏最小二乘回归方法及其应用,北京,国防工业出版社,2000,28～110
[126]刘蓉,近红外光谱分析中模型优化方法的初步研究:[硕士学位论文],天津:天津大学,2003
[127]William J.Egan,Outlier Detection in Multivariate Analytical Chemical Data,Anal.Chem.,1998,70(11):2372～2379
[128]D.Jouan-Rimbaud,E.Bouveresse,D.L.Massart et al.,Detection of prediction outliers and inliers in multivariate calibration,Anal.Chim.Acta,1999,388:283～301
[129]B.Walczak,D.L.Massart,Multiple outlier detection revisited,Chemometrics Intell.Lab.Syst.,1998,41:1～15.
[130]Liang,L;Kvalheim,O.M.Robust methods for multivariate analysis-a tutorial review,Chemometrics Intell.Lav.Syst.,1996,32:1～10
[131]Pell, Randy J. Multiple outlier detection for multivariate calibration using robust statistical techniques Chemometrics and Intelligent Laboratory Systems 2000, 52( 1): 87-104
[132]Mu?oz, Alberto; Muruzábal, Jorge. Self-organizing maps for outlier detection. Neurocomputing. 1998, 1(3): 33-60
[133]P. Rousseeuw, M. Hubert, Recent developments in PROGRESS, L1-Statistical procedures and related topics, in: Y. Dodge Ed. , The IMS Lecture Notes-Monograph Series,1997, 31:201–215
[134]P.J. Rousseeuw, B.C. van Zomeren, Unmasking multivariate outliers and leverage points, J. Am. Stat. Assoc.1990,85:871–880
[135]B. Walczak, D.L. Massart, Robust principal components regression as a detection tool for outliers, Chemom. Intell. Lab. Syst.1995,27: 41–54
[136]B. Walczak, Outlier detection in multivariate calibration, Chemom. Intell. Lab. Syst.1995,28:259–272
[137]J. Wang, Y. Xie, R. Yu, Maximum sum of binary-coded residuals MASBR regression as a robust procedure for treatment of spectral data, J. Chemom. 1995,9:373–387
[138]Y. Liang, O.M. Kvalheim, Robust methods for multivariate analysis — a tutorial review, Chemom. Intell. Lab. Syst. 1996,32:1–10
[139]H. Hove, Y. Liang, M. Kvalheim, Trimmed object projections: a nonparametric robust latent-structure decomposition method, Chemom. Intell. Lab. Syst. 1993,27:33–40
[140] W.J. Egan, S.L. Morgan, Outlier detection in multivariate analytical chemical data, Anal. Chem. 1998,79:2372–2379
[141]Chiang, Leo H.; Pell, Randy J.; Seasholtz, Mary Beth.Exploring process data with the use of robust outlier detection algorithms. Journal of Process Control. 2003, 13(5):437-449
[142]杨行峻,郑君里,人工神经网络与盲信号处理,北京:清华大学出版社,2003
[143]徐可欣,崔厚欣等,血糖无创伤检测技术的基础研究,天津大学学报:自然科学与工程技术版.2003,36(2):135-138
[144]蔡志刚,田丰华等,近红外光谱系统在游离皮瓣微循环血氧检测中的应用研究中华显微外科杂志.2002,25(3):207-208
[145]Torella Francesco,Cowley Richard,Thorniley Maureen S.,McCollum Charles N.Monitoring blood loss with near infrared spectroscopy, Comparative Biochemistry and Physiology-Part A: Molecular & Integrative Physiology . 2002, 132(1): 199-203
[146]相韶霞,林凌等,近红外光谱组织血氧检测结果的定量化方法,光学技术.2001,27(5):451-454,45
[147]Tenhunen Jussi, Kopola Harri, Myllyl? Risto.Non-invasive glucose measurement based on selective near infrared absorption; requirements on instrumentation and spectral range, Measurement. 1998,24(3):173-177
[148]Shao Xueguang,Yu Zhengliang,Sun Li,Resolution of multicomponent NMR signals using wavelet compression and immune algorithm, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2003,59(5):1075-1082
[149] 邵 学 广 , 孙 培 艳 , 小 波 变 换 用 于 色 谱 重 叠 峰 的 解 析 , 分 析 化学.1997,25(6):671-674
[150]Lu Xiaoquan, Liu Hongde, Kang Jingwan, Cheng Jin. Wavelet frequency spectrum and its application in analyzing an oscillating chemical system, Analytica Chimica Acta. 2003, 484(2):201-210
[151]郑建斌,赵瑞,张红权等,小波变换及其在化学中的应用,分析化学,1999,27(7):855～861
[152]陈洁,单军, 共聚物红外光谱的小波变换,分析化学.1997,25(2):172-174
[153]赵学玲,近红外测量血浆多成分的初步研究, [硕士学位论文],天津:天津大学,2002
[154]David Broadhurst,Royston Goodacre,Alun Jones,et al.,Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression,with applications to pyrolysis mass spectroscopy,Analytica Chimica Acta,1997,348:71～86
[155]A.Lorber, Error propagation and figures of merit for quantification by solving matrix equations,Analytical Chemistry,1986,58(6):1167～1172
[156]Lu Xu, Wenjun Zhang,Comparison of different methods for variable selection,Analytica Chimica Acta,2001,446:477～483
[157]D.Jouan-Rimbaud, B.Walczak,D.L.Massart,Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic data,Analytica Chimica Acta,1995,304(3):285～295
[158]Michael J.Mcshane,Gerard L.cote,Clifford Spiegelman,Variable selection in multivariate calibration of a spectroscopic glucose sensor,Applied Spectroscopy,1997,51(10):1559～1564
[159]汪尔康,21 世纪的分析化学,北京:科学出版社,1999,85
[160]Michael J.Mcshane,Assessment of Partial Least-Squares Calibration and Wavelength Selection for Complex Near-infrared Spectra,Applied Spetroscopy,1998,52(6):878～884
[161]Clifford H.Spiegelman, Michael J.Mcshane, Marcel J.Goetz, et al., Theoretical justification of wavelength selection in PLS calibration: Development of a new algorithm, Amalytical Chemistry, 1998, 70(1):35～44
[162]John H.Kalivas,Nancy Roberts,Jon M.Sutter,Global Optimization by Simulated Annealing with wavelength selection for Ultraviolet-Visible spectrophotometry,Analytical Chemistry,1989,61(18):2024～2030
[163]Leardi Riccardo, SeasholtzMary Beth, Pell Randy J., Variable selection for multivariate calibration using a genetic algorithm: prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data, Analytica Chimica Acta, 2002, 461(2):189～200
[164]王宏,李庆波,刘则毅,徐可欣,遗传算法在近红外无创伤人体血糖浓度测量基础研究中的应用,分析化学,2002,30(7):779～783
[165]Liang Xu,Israel Schechter,Wavelength selection for simultaneous spectroscopic analysis,Experiment and theoretical study,Analytical Chemistry,1996,68(14):2392～2400
[166]XIE Shu-sen,LI Hui,LU Zu-kang.Overview of tissue optics[J].Physics,1998,27:599-604
[167]ISHIMARU A.Diffusion of light in turbid material.Appl Opt,1989,28:2210-2215
[168]ISHIMARU A.Wave propagation and scattering in random media.New York:Academic,1978
[169]BONNER R F,NOSSAL R,HAVLIN S,WEISS G H.Model for photon migration in turbid biological media.J OptSoc Am,1987,4:423-432.
[170]WANG L H.Monte Carlo modeling of light transport in multilayerd tissrus.University of Texas M D Anderson Cancer Center,1992
[171]Makolf H N 著,张振西译,激光与生物组织的相互作用-原理及应用,西安:西安交通大学出版社,1999,8(2):137～142
[172]赵友全,范世福,曹文新,生物组织光学特性参数及其描述,国外医学生物医学工程分册,2000,23(2):76～80
[173]谢树森,生物组织光学性质的测量原理与技术,中国生物医学工程学报,1997,16(4):327～332
[174]Prahl SA,Keijzer M,Jacques SL,Welch AJ.A Monte Carlo model of light propagation in tissue,Proc.SPIE.1989,IS5:102～111
[175]Keijzer M, Jacques SL,Prahl SA, Welch AJ.Light distribution in artery tissue:Monte Carlo simulations for finite-diameter laser beams.Lasers Surg.Med.1989,9:148-154
[176]Wison BC,Jacques SL.Optical reflectance and transmittance of tissues:principes and applications.IEEE J.Quant.Eletronics.1990,26(12):2186-2199
[177]Jacques SL.Sucmarizing Monte Carlo simulations by simple analytic exressions to describe photon transport in tissue.Proc.SPIE.1995,2326:2-10.
[178]Jacques SL,Wang LH.Monte Carlo modeling of light transport in tissue,in Optical-Thermal Response of Laser-Irradiated Tissue.Plenum Press,New York,1995
[179]Gardner GM,Jacques SL,Welch AJ.Light transport in tissue:accurate expressions for one-dimensional fluence rate and escape function based upon Monte Carlo simulation.Lasers in Surgery and Medicine.1996,18:129-138
[180]Zaccanti G.Monte Carlo stydy of light propagation in optically thick media:point source case.Applied Optics.1991,30(15):2031-2042
[181]Zaccanti G,Donelli P.Attenuation of energy in time-gated transillumination imaging:numerical results.Applied Optics.1994,33(30):7023-7030
[182]Wang LH, Jacques SL. Hybrid model of Monte Carlo simulation and diffusion theory for light reflection by turbid media.J.Opt.Soc.Am.A.1993,32:426-433
[183]Wang LH,Rapid modeling of diffuse reflectance of light in turbid slabs.Journal of Optical Society America.1998,15:936-944
[184]Wang LH,Jacques SL,Zheng LQ.CONB-Concolution for responses to a finite diameter photon beam incident on multi-layered tissues.Computer Methods and Programs in Biomedicine.1997,54:141-150
[185]Yao G,Wang LH.Monte Carlo simulation of optical coherence tomography in homogeneous turbid media.Physics in Medicine and Biology.1999,44:2307-2320
[186]Wang LH,Nordquist RE,Chen W.Optical beam size for light delivery to absorption-enhanced tumors buried in biological tissues and effect of multiple-beam delivery:a Monte Carlo study.Applied Optics.1997,36(31):8286-8289
[187]Marquez G,Wang LH,Lin SP,Schwartz JA,Thomsen SL.Anisotropy in the absorption and scattering spectra of chicken breast tissue.Applied Optics.1998,37:798-805
[188]Wang LH,Liang G.Absorption distribution of an optical beam foucused into a turbid medium.Applied Optics.1999,38:4951-4958
[189]Rakovic MJ,Kattawar GW,Mehrubeoglu M,Cameron BD,Wang LHet ac.Light backscattering polarization patterns from turbid media:theory and experiment,Applied Optics.1999,38:3399-3408
[190]丁海曙,王峰,苏畅等,近红外光子在生物组织中迁移的仿真及应用,清华大学学报自然科学版,1999,39(9)
[191] 骆 清 铭 等 , 生 物 组 织 中 激 光 传 输 规 律 的 模 拟 与 检 验 , 光 子 学报,1995,24(2):125～129
[192]Arnold N L, McNeill F E,Prestwich W V,et al.,System design for in vivo neutron activation analysis measurements of manganese in the human brain :based on Monte Carlo modeling,Applied Radiation and Isotopes,2000,53:651～656
[193]Feng S,Zeng F A,Chance B,Photon migration in the presence of a single defect,a perturbation analysis,Applied Optics,1995,34,3826～3837
[194]陆燧丽,毛慈波,光在组织中传输的光强分布的蒙特卡罗模拟.华中理工大学学报.1995,23(7): 1～5
[195]王建岗,王桂英,徐至展,光在分层散射介质中传输行为的蒙特卡罗模拟研究,光学学报,2000,20(3):346～350
[196]卢毅权,李正佳,光在多层生物组织中传输的蒙特卡罗模拟,华中理工大学学报,2000,28(3):102～104
[197]林煜,双层生物组织中光分布的蒙特卡罗模拟,激光杂志,1997,18(1):52～55
[198] 孙 威 等 , 用 蒙 特 卡 罗 方 法 研 究 生 物 组 织 中 的 光 分 布 , 光 学 学报,1994,14(1):97～101
[199]Tinet E et al., Fast Semianalytical Monte Carlo simulation for time-resolved light propagation in turbid media, Journal of Optical Society of America A,1996,3(9):1903～1915
[200]薛玲玲,王新宇等.生物组织中的光分布研究.光子学报. 2000
[201]钱盛友,邢达. 生物组织中有限束宽光吸收的蒙特卡罗模拟.激光生物学报 2002,11(2)
[202]宋宜昌,邢达.用蒙特卡罗方法模拟光在多层组织中的吸收特性. 激光生物学报 2002,11(1)
[203]张连顺,张春平等.生物组织中光传输的随机行走模型.南开大学学报(自然科学)2002,35(3)
[204]薛玲玲,张春平等. 多层生物组织中的光分布研究. 南开大学学报(自然科学), 2001,34(1)
[205]Prahl A S,Light transport in tissue, Ph.D thesis, The University of Texas at Austin(S December 1988), December 1988
[206]程树英,沈鸿元,用蒙特卡罗法研究面光源在血液中的传播,光电子.激光。2002,13(1)
[2]Cameron B D.,Cote G L,Polarimetric detection of chiral chemicals in biological fluids, Proceedings of SPIE,1997,2982:308-313
[3]Kanger J S,de Mul frits F.M.,Otto C.,Non-invasive detection of glucose using Raman spectroscopy,Proceedings of SPIE,1999,3570:123-129
[4]Bednov A A,Karabutov A A,Savateeva E V,et al.,Monitoring glucose in vivo by measuring laser-induced acoustic profiles,Proceedings of SPIE,2000,3916:9-18
[5]Bruulsema J T,Hayward J E, Farrell T J,et al., Correlation between blood glucose concentration in diabetics and noninvasively measured tissue optical scattering coefficient,Potics Letters,1997,22(3):190-192
[6]Herschel W.,Investigation of the Powers of the prismatic Colours to heat and illuminate Objects; with Remarks that prove the different Refrangibility of radiant Heat.To which is added an Inquiry into the Method of viewing the Sun advantageously with Telescopes of large Apertures and high magnifying Powers, Philosophical Transactions,1800,90:255-326
[7]Abney W.,Festing,E.R., On the Influence of the Atomic Grouping in the Molecules of Organci Bodies on their Absorption in the Infra-Red Region of the Spectrum,Philosophical Transactions,1881,172:887
[8]F.S.Brackett,Proc.Natl.Acad.Sci.1928,14:857
[9]W.Kaye,Theory and principles of near infrared spectroscopy,Spectrochin Acat, 1955,7:181
[10]Ben-Gera I.,K.H.Norris,Direct spectrophotometric determination of fat and moisture in meat products Journal Food Science,1968,33:64
[11]G Abraham,P Gabor,A.C.Sidney,Near Infrared Spectroscopy:The Future Waves,NIR Publications,1996,323-327
[12]M Kathlen,Ner Infrared Spectroscopy: The Future Waves,NIR Publications,1996,328-333
[13]J.Tong,M.Meurens,and H.Noel,Near Infrared Spectroscopy: The Future Waves,NIR Publications,1996,334
[14]Watanabe Eiju,Yamashita Yuichi,Maki Atsushi,ET AL.,Cerebral blood flow measurement during epilepsy using multi-channel near infra-red spectroscopic topography, Neuroscience Research,1997,28(Supplement 1):300
[15]Yoxall C.W.,Weindling A.M.,Measurement of peripheral venous oxyhaemoglobin saturation by near infra red spectroscopy and venous occlusion ,Early Human Development,1995,41(3):231
[16]Vályi-Nagy István,Kaffka Károly J.,Jákó János M.et al.,Application of near infrared spectroscopy to the determination of haemoglobin,Clinica Chimica Acta,1997,264(1):117-125
[17]李庆波,徐可欣,血糖无创伤光学检测的进展,世界医疗器械,2002,8(7):56-59
[18]Claus D?hne,Spectrophotometric method and apparatus for the non-invasive,U.S.A,4655225,1987-04-07
[19]Rorbert D.Rosenthal,Non-invasive measurement of Blood Glucose,U.S.A,5028787,1991-01-02
[20]Kevin H.Hazen,Mark A.Arnold,Gary W.Small,Temperature-Insensitive Near-Infrared Spectroscopic Measurement of Glucose in Aqueous Solutions,Applied Spectroscopy,1994,48(4):477-483
[21]Mark A.Arnold,Gary W Small, Determination of Physiological Levels of Glucose in an Aqueous Matrix with Digitally Filtered Fourier Transform Near-Infrared Spectra,Analytical Chemistry,1990,62(14):1457-1464
[22]Russell H.Barnes Non-invasive Determination of Glucose Concentration in Body of Patients,U.S.A,5070874,1991-12-10
[23]Stephen.F.Malin,Timothy.L.Ruchti,Thomas B.Blank,et al,Non-invasive Prediction of Glucose by Near-Infrared Diffuse Reflectance Spectroscopy,Clinical Chemistry,1999,45(9):1651-1658
[24]丸尾胜彦,Glucose 浓度的定量方法及装置,日本,特开平 10-325794,1998-12-08
[25]M.Cope,P.Van der Zee,M.Essenpreis,S.R.Arridge,and D.T.Delpy, Methods of uantitating near-infrared spectroscopy data, Pro.SPIE 1991,1431:107-26
[26]C.A.Piantadosi,Methods Toxicol. 1993,2:107-26
[27]A.Seiyama,O.Haxeki,and M.Tamura, Noninvasive quantitative analysis of blood xygenation in rat skeletal muscle,J,Biochem,1988,103:419-24
[28]O.Hazeki and M.Tamura,Quantitative analysis of hemoglobin state of rat brain by ear-infrared spectroscopy,J.Biochem,1988,103:796-802.
[29]K.Yamamoto,M.Niwayama,L.Lin,T.Shiga,N.Kudo,andK.Shimizu, Influence of ubcutaneous fat layer on muscle oxygenation measurement using NIRS,Selected Proceedings from International Symposium on Non-invasive Ppticsl Diagnosis, 1996,7-45.
[30]Schrader.Wolfgang,Meuer.Petra,Popp.Jürgen,et.al.Non-invasive glucose determination in the human eye.Journal of Molecular Structure, 2005,Vol.735-736,299-306
[31]M Tarumi, M Shimada, T Murakami,et al.Phys. Med. Biol.,2003,48 : 2373-2390
[32]Olesberg JT, Liu LZ, Van Zee V, et al.In vivo near-infrared spectroscopy of rat skin tissue with varying blood glucose levels. Conference on Optical and Diagnostics and Sensing IV, 2004,OPTICAL DIAGNOSTICS AND SENSING IV : 11-20
[33]Xu KX,Qiu QJ,Wang WB,et al. The interface between probe and skin in non-invasive glucose sensing 2002 Saratov Fall Meeting,2002,OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE IV : 104-111
[34]Robinsin M R, Eaton R P ,Haaland D M,et al.Noninvasive glucose monitoring in diabetic patients: a preliminary evaluation ,Clin.Chem.,1992,38:1618-1622
[35]Heise H M,Bittner A,Multivariate calibration for physiological samples using infrared spectra with choice of different intensity data, J.Mol.Structl,1995,348:127-130
[36]Amerov, et al., Method and device for non-invasive blood glucose measurement, Proceedings of SPIE,1999,3599:33-42
[37]Saptari,et al.,Sensitivity analysis of near infrared glucose absorption signals:Toward noninvasive blood glucose sensing, Proceedings of SPIE,2000,4136:45-54
[38]Gowda,et al., Development of an implantavle skin port sensor for use as an in vivo optical glucose sensing platform, Proceedings of SPIE-The International Society for Optical Engineering,2001,4236:11-19
[39]Alam M.Kathleen,et al. Appl. Spectrosc., 1999:53(3),316.
[40] Hall J W, Pollard A. J. Near-infrared Spectrosc.,1993:1(3),127-132.
[41] Domjan G, Kaffka K J, Jako J M, et al. J. Near-infrared Spectrosc., 1994:2(2),67-78.
[42]Wuori ER, Gmitter MB, Non-invasive in-vivo monitoring of total blood hemoglobin.Conference on Optical Diagnostics and Sensing in Biomedicine III, 2003,OPTICAL DIAGNOSTICS AND SENSING IN BIOMEDICINE III : 160-167
[43]K. Murayama, K. Yamada, R. Tsenkova ,et al.,Near-infrared spectra of serum albumin and g-globulin and determination of their concentrations in phosphate buffer solutions by partial least squares regression,Vibrational Spectroscopy,1998,18:33–40
[44]Shun-Li Wang, Yen-Shan Wei, Shan-Yang Lin,Subtractive similarity method used to study the infrared spectra of proteins in queous solution,Vibrational Spectroscopy.2003,31:313–319
[45]Ge′rard De′le′ris, Cyril Petibois,Applications of FT-IR spectrometry to plasma contents analysis and monitoring, Vibrational Spectroscopy.2003,32:129–136
[46]Mcshane J Michael, Cote L Gerard . Appl. Spectrosc., 1998:52(8),1073-1076.
[47]Tanaka K, Tanikawa Y, Araki R, et al.Optical property measurement of thin superficial tissue by using time-resolved spectroscopy,Conference on Diagnostic Optical Spectroscopy in Biomedicine II, 2003,DIAGNOSTIC OPTICAL SPECTROSCOPY IN BIOMEDICINE II : 315-324
[48]Crespi F, Donini M, Bandera A,et al. Near infrared oxymeter prototype for non-invasive analysis of rat brain oxygenation,Proceedings of SPIE - The International Society for Optical Engineering, 2004, 5459:38-45
[49]Chung H , Mark A Arnold, Martin Rhiel,et al. Appl. Spectrosc., 1996:50(2),270-276.
[50]Li Yue et al. J. Near-infrared Spectrosc.,1999(7),101-108.
[51]Spanner G,Niessner R.,Fresenius J.,Anal. Chem., 1996:355(3-4),327-328.
[52]Raber Peter E, Santman Jeff. WO Patent No.9725915 Al,1997.
[53]Mueller U A, Mertes B, Fischbacher C, et al. Int. J. Artif. Organs, 1997: 20(5),285-290.
[54]Toshiyasu Tarumi, Gary W S. On-line Glucose Monitoring Using Near Infrared Spectroscopy, Pittcon 2000,319.
[55]Kenneth A S, David R M, Eric O F,et al. Appl. Spectrosc., 1999,53(3),325.
[56]Lim M, Jackson T, Anfinrud P. J. Phys. Chem., 1996:100(29),12043-51.
[57]Dreassi E, Ceramelli G, Fabbri L, et al. Analyst, 1997: 122(8), 767-776.
[58]Kathleen Martin. Appl. Spectrosc.,1998:52(7),1001-1007.
[59]黄岚,丁海曙,王广志.用近红外漫反射光谱无损检测血糖的初步研究,光谱学与光谱分析,2002,22(3):387-391
[60]许棠,张春平,王新宇等,用 CCD 测量生物组织的漫反射率和透射率.光谱学与光谱分析.2004,24(4):392-395
[61]余江胜,骆清铭,阮玉,时间分辨技术测量高散射介质光学参量,光子学报. 2003, 32(7):860-863
[62]余江胜,骆清铭,阮玉,新型门控光子计数法测量高散射介质的光学参量.光学学报.2003,23(10):1269-1272
[63]王峰,李炜,林方等,用近红外光谱技术实现生物组织含氧量的无损检测,清华大学学报自然科学版,1999,39(7):16-19
[64]莫希,孙树星,余修海等,人体血糖浓度连续、无创、定量检测的数理模型,生物医学工程学杂志,1991,8(2):137-142
[65]陈华才 ,杨仲国 ,李惠英 ,陈星旦,人血清中胆固醇近红外光谱快速检测初步研究,激光生物学报,2OO4,13(6):429～432
[66]Markolf H N 著,张镇西译,激光与生物组织的相互作用—原理及应用,西安:西安交通大学出版社,1999,45-120
[67]罗志昌,张松,光电容积脉搏波描记法原理及其在临床上的应用,世界医疗器械.2000,6(9):41-47
[68]Uretzky G.et al,Elastic Paoperties of blood Vessels detemined by photoelectric PlethysmoGraphy,Angiology,1978:28
[69]孙文青,光电容积脉搏波的 FFT 分析与研究,苏州大学学报,自然科学版,1996,12(1):50-54
[70] Lafrance Denis, Lands Larry C, Burns David H. Measurement of lactate in whole human blood with near-infrared transmission spectroscopy. Talanta , 2003, 60(4): 635-640.
[71] Rosen Noah A, Charash William E, Hirsch Erwin F.Near-Infrared Spectrometric Determination of Blood pH.Journal of Surgical Research. 2002, 106(2): 282-286.
[72] da Costa Filho Paulo A, Poppi Ronei J. Determination of triglycerides in human plasma using near-infrared spectroscopy and multivariate calibration methods[J]. Analytica Chimica Acta 2001, 446(1-2):39-47.
[73] Nahm W.,Gehring H,Non-invasive in vivo measurement of blood spectrum by time-resolved near-infrared spectroscopy, Sensors and Actuators, B: Chemical, 1995,B29: 174-179
[74]Niwayama. M., Shiga, T., Lin, L.et al. Correction of the influences of a subcutaneous fat layer and skin in a near-infrared muscle oximeter, Engineering in Medicine and Biology Society, 1998, Proceedings of the 20th Annual International Conference of the IEEE ,4:1849-1850
[75]丁海曙, 王峰等,光谱学与光谱分析,2001,21(2):155-159.
[76]Kexin Xu, Yanhui Lu, Qingbo Li,et al.Path length selection method for quantitative analysis with near-infrared spectroscopy,Proc. SPIE Int. Soc. Opt. Eng. 2004,5486:100
[77]Korolevich Alexander N, Meglinsky Igor V. Experimental study of the potential use of diffusing wave spectroscopy to investigate the structural characteristics of blood under multiple scattering. Bioelectrochemistry and Bioenergetics, 2000, 52(2): 223-227
[78]J.P.Payne, J.W.Severinghaus, Pulse Oximetl3', Springer, Berlin, 1986.
[79]熊政纲,罗建清.实用预防医学,2003,10(2):258-259
[80]林理忠,宋敏,微弱信号检测学导论,北京:中国计量出版社,1996
[81]杨福生,小波变换的工程分析与应用,北京:科学出版社,1999
[82]李建平,小波分析与信号处理—理论、应用及软件实现,重庆:重庆出版社,1997
[83]DAUBECHIES I.The wavelet transform,time-frequceny localization and signal.IEEE Trans,1990,IT-36(5):961-1005
[84]MALLAT S.A theory for multiresolution signal decomposition,the wavelet representation.IEEE Trans,1989 On PAMI-11(7):674-693.
[85]MALLAT S.Multiresolution approximation and wavelet orthonormal bases of L 2,Trans Amer Math Soc,1989,315:69-87.
[86]胡昌华,张军波,夏军等,基于 MATLAB 的系统分析与设计—小波分析,西安:西安电子科技大学出版社,1999
[87]沈福民,自适应信号处理,西安:电子科技大学出版杜,2001
[88]Maertens.K., Reyns. P., De Baerdemaeker, J.Double adaptive notch filter for mechanical grain flow sensors. Journal of Sound and Vibration ,2003, 266(3):645-654
[89]Ping. Li, Fang. M.T.C., Lucas. J. Modeling of submerged arc weld beads using self-adaptive offset neutral networks. Journal of Materials Processing Technology,1997,71(2):288-298
[90]A.Lorber,B.R.Kowalski,Estimation of prediction error for multivariate calibration, Journal of Chemometrics,1988,2:93～109
[91]Andrew J Berger,Michael S Feld,Analytical Method of Estimating Chemometric Prediction Error,Applied Spectroscopy,1997,51(5):725～731
[92]李庆波,近红外光谱分析中若干关键技术的研究:[博士学位论文],天津:天津大学,2002
[93]Kubo Hiroko,Mitsumura Yoshio,Uenoyama Harumi,Xu Kexin,Method and apparatus for measuring concentration by light projection,U.S.Patent,6147749,Nov.14,2000
[94]蒋景英, 人体内成分无创光谱检测中测量条件的研究:[博士学位论文],天津:天津大学,2002
[95]Chan E K,Sorg B,Protsenko D,et al.,Effects of compression on soft tissue optical properties,IEEE Journal on Selected Topics in Quantum Electronics,1996,2:943～950.
[96]Shangguan H,Prahl S A,Jacques S L,et al.,Pressure effects on soft tissues monitored by changes in tissue optical properties,in Laser-Tissue Interaction IX,S.L.Jacques Ed.,Proc.SPIE 1998,3254:366～371.
[97]陈奎孚,焦群英,高小榕,谱峰法的窗函数选择,中国农业大学学报,1997,2(4):21～27
[98]戴先中,唐统一,周期信号谐波分析的一种新方法,仪器仪表学报,1989,10(3):248～255
[99]何岭松,熊鹰,用双窗法减小 FFT 谱分析估算误差,振动与冲击,2001,20(2):49～52。
[100]H.Willard,L.Merritt,J.Dean,Instrumental Methods of Analysis,USA:Wadsworth,1981,73～75.
[101] Xu KX,Yamasaki Yutaka,Uenoyama Harumi,et al., Apparatus and method for optically measuring concentrations of components, United States Patent,5602647,Feb.11,1997
[102]汪曣，卢延辉等，光程长对光谱测量误差的影响,天津大学学报:自然科学与工程技术版.2004,37(10):906-909。
[103]Jagemann K,Fischbacher C,Danzer K,et al.Application of near-infrared spectroscopy for non-invasive determination of blood/tissue glucose using neural networks,Z Phys Chem,1995,191:179～190
[104]Malin S F,Ruchti T L,Blank T B,et al.The noninvasive measurement of glucose by near-infrared diffuse reflectance spectroscopy,Clin Chem.,1999,45:1651～1658
[105]Hazen K H,Glucose determination in biological matrices using near-infrared spectroscopy,PhD Dissertation,Iowa City,IA:University of Iowa.1995,315
[106]Heise H M,Marbach R,Koschinsky T H,etal.Noninvasive blood glucose sensors based on near-infrared spectroscopy,Artif.Organs.,1994,18:439～447
[107]Marbach R,Koschinsky T H,Gries F A, et al.Noninvasive blood glucose assay by near-infrared diffuse reflectance spectroscopy of the human inner lip,Appl Spectrosc.,1993,47:875～881
[108]Burmeister J J,Arnold M A,Evaluation of measurement sites for noninvasive blood glucose sensing with near-infrared transmission spectroscopy,Clin.Chem.,1999,45:1621～1627
[109]陈文亮,刘蓉,崔厚欣,无创血糖测量的测量界面稳定性研究, 光电子.激光.2004,15(2):242-245,254
[110]Uretzky G.et al.Elastic Propertise of blood Vessels determined by photoelectric plethysmography.Angiology,1978:28
[111]包任尧等,正常人与神经系统血管疾患病人指容波的测定,神经精神疾病杂志,1981:7(1):1
[112]Giltvedt, J. Sira, A.; Helme, P. , Pulsed multifrequency photoplethysmograph,Medical & Biological Engineering & Computing, v 22, n 3, May 1984, p 212-15。
[113]Sherebrin, M.H. , Sherebrin, R.Z. Frequency analysis of the peripheral pulse wave detected in the finger with a photoplethysmograph. IEEE Transactions on Biomedical Engineering, 1990, 37(3):314-17
[114]Khanokh, B. , Slovik, Y.; Landau, D.; Nitzan, M. Sympathetically induced spontaneous fluctuations of the photoplethysmographic signal. Medical & Biological Engineering & Computing, 2004, 42(1):80-5
[115]Barschdorff, Dieter , Zhang, Wei, Respiratory rhythm detection with photoplethysmographic methods,Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 1994, 16(2):912-913
[116]Johansson, A., Neural network for photoplethysmographic respiratory rate monitoring, Medical & Biological Engineering & Computing, 2003,41(3): 242-8
[117]Teng, X.F., Zhang, Z.T. The effect of contacting force on photoplethysmographic signals, Physiological Measurement, 2004,25(5):1323-35
[118]Ugnell, H. , The respiratory synchronous photoplethysmographic signal. Its dependence on light wavelength and sample volume,Medical & Biological Engineering & Computing, 1996, 34(1):275-6
[119]Buchs, A. , Slovik, Y., Rapoport, M., Rosenfeld, C., Khanokh, B., Nitzan, M., Right-left correlation of the sympathetically induced fluctuations of photoplethysmographic signal in diabetic and non-diabetic subjects,Medical & Biological Engineering & Computing, 2005, 43(2):252-7
[120]Allen, J. ,Murray, A., Comparison of regional variability in multi-site photoplethysmographic pulse wave characteristics,First International Conference on Advances in Medical Signal and Information Processing 2000,476:26-31
[121]Allen, J., Murray, A., Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites,Physiological Measurement, 2003, 24(2): 297-307
[122]陆婉珍,袁洪福,徐广通,现代近红外光谱分析技术,北京:中国石化出版社,2000
[123]梁逸曾,俞汝勤,化学计量学,北京:高等教育出版社,2003
[124]H. Martens, T. N?s, Multivariate Calibration, Wiley, New York, 1989.
[125]王惠文,偏最小二乘回归方法及其应用,北京,国防工业出版社,2000,28～110
[126]刘蓉,近红外光谱分析中模型优化方法的初步研究:[硕士学位论文],天津:天津大学,2003
[127]William J.Egan,Outlier Detection in Multivariate Analytical Chemical Data,Anal.Chem.,1998,70(11):2372～2379
[128]D.Jouan-Rimbaud,E.Bouveresse,D.L.Massart et al.,Detection of prediction outliers and inliers in multivariate calibration,Anal.Chim.Acta,1999,388:283～301
[129]B.Walczak,D.L.Massart,Multiple outlier detection revisited,Chemometrics Intell.Lab.Syst.,1998,41:1～15.
[130]Liang,L;Kvalheim,O.M.Robust methods for multivariate analysis-a tutorial review,Chemometrics Intell.Lav.Syst.,1996,32:1～10
[131]Pell, Randy J. Multiple outlier detection for multivariate calibration using robust statistical techniques Chemometrics and Intelligent Laboratory Systems 2000, 52( 1): 87-104
[132]Mu?oz, Alberto; Muruzábal, Jorge. Self-organizing maps for outlier detection. Neurocomputing. 1998, 1(3): 33-60
[133]P. Rousseeuw, M. Hubert, Recent developments in PROGRESS, L1-Statistical procedures and related topics, in: Y. Dodge Ed. , The IMS Lecture Notes-Monograph Series,1997, 31:201–215
[134]P.J. Rousseeuw, B.C. van Zomeren, Unmasking multivariate outliers and leverage points, J. Am. Stat. Assoc.1990,85:871–880
[135]B. Walczak, D.L. Massart, Robust principal components regression as a detection tool for outliers, Chemom. Intell. Lab. Syst.1995,27: 41–54
[136]B. Walczak, Outlier detection in multivariate calibration, Chemom. Intell. Lab. Syst.1995,28:259–272
[137]J. Wang, Y. Xie, R. Yu, Maximum sum of binary-coded residuals MASBR regression as a robust procedure for treatment of spectral data, J. Chemom. 1995,9:373–387
[138]Y. Liang, O.M. Kvalheim, Robust methods for multivariate analysis — a tutorial review, Chemom. Intell. Lab. Syst. 1996,32:1–10
[139]H. Hove, Y. Liang, M. Kvalheim, Trimmed object projections: a nonparametric robust latent-structure decomposition method, Chemom. Intell. Lab. Syst. 1993,27:33–40
[140] W.J. Egan, S.L. Morgan, Outlier detection in multivariate analytical chemical data, Anal. Chem. 1998,79:2372–2379
[141]Chiang, Leo H.; Pell, Randy J.; Seasholtz, Mary Beth.Exploring process data with the use of robust outlier detection algorithms. Journal of Process Control. 2003, 13(5):437-449
[142]杨行峻,郑君里,人工神经网络与盲信号处理,北京:清华大学出版社,2003
[143]徐可欣,崔厚欣等,血糖无创伤检测技术的基础研究,天津大学学报:自然科学与工程技术版.2003,36(2):135-138
[144]蔡志刚,田丰华等,近红外光谱系统在游离皮瓣微循环血氧检测中的应用研究中华显微外科杂志.2002,25(3):207-208
[145]Torella Francesco,Cowley Richard,Thorniley Maureen S.,McCollum Charles N.Monitoring blood loss with near infrared spectroscopy, Comparative Biochemistry and Physiology-Part A: Molecular & Integrative Physiology . 2002, 132(1): 199-203
[146]相韶霞,林凌等,近红外光谱组织血氧检测结果的定量化方法,光学技术.2001,27(5):451-454,45
[147]Tenhunen Jussi, Kopola Harri, Myllyl? Risto.Non-invasive glucose measurement based on selective near infrared absorption; requirements on instrumentation and spectral range, Measurement. 1998,24(3):173-177
[148]Shao Xueguang,Yu Zhengliang,Sun Li,Resolution of multicomponent NMR signals using wavelet compression and immune algorithm, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2003,59(5):1075-1082
[149] 邵 学 广 , 孙 培 艳 , 小 波 变 换 用 于 色 谱 重 叠 峰 的 解 析 , 分 析 化学.1997,25(6):671-674
[150]Lu Xiaoquan, Liu Hongde, Kang Jingwan, Cheng Jin. Wavelet frequency spectrum and its application in analyzing an oscillating chemical system, Analytica Chimica Acta. 2003, 484(2):201-210
[151]郑建斌,赵瑞,张红权等,小波变换及其在化学中的应用,分析化学,1999,27(7):855～861
[152]陈洁,单军, 共聚物红外光谱的小波变换,分析化学.1997,25(2):172-174
[153]赵学玲,近红外测量血浆多成分的初步研究, [硕士学位论文],天津:天津大学,2002
[154]David Broadhurst,Royston Goodacre,Alun Jones,et al.,Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression,with applications to pyrolysis mass spectroscopy,Analytica Chimica Acta,1997,348:71～86
[155]A.Lorber, Error propagation and figures of merit for quantification by solving matrix equations,Analytical Chemistry,1986,58(6):1167～1172
[156]Lu Xu, Wenjun Zhang,Comparison of different methods for variable selection,Analytica Chimica Acta,2001,446:477～483
[157]D.Jouan-Rimbaud, B.Walczak,D.L.Massart,Comparison of multivariate methods based on latent vectors and methods based on wavelength selection for the analysis of near-infrared spectroscopic data,Analytica Chimica Acta,1995,304(3):285～295
[158]Michael J.Mcshane,Gerard L.cote,Clifford Spiegelman,Variable selection in multivariate calibration of a spectroscopic glucose sensor,Applied Spectroscopy,1997,51(10):1559～1564
[159]汪尔康,21 世纪的分析化学,北京:科学出版社,1999,85
[160]Michael J.Mcshane,Assessment of Partial Least-Squares Calibration and Wavelength Selection for Complex Near-infrared Spectra,Applied Spetroscopy,1998,52(6):878～884
[161]Clifford H.Spiegelman, Michael J.Mcshane, Marcel J.Goetz, et al., Theoretical justification of wavelength selection in PLS calibration: Development of a new algorithm, Amalytical Chemistry, 1998, 70(1):35～44
[162]John H.Kalivas,Nancy Roberts,Jon M.Sutter,Global Optimization by Simulated Annealing with wavelength selection for Ultraviolet-Visible spectrophotometry,Analytical Chemistry,1989,61(18):2024～2030
[163]Leardi Riccardo, SeasholtzMary Beth, Pell Randy J., Variable selection for multivariate calibration using a genetic algorithm: prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data, Analytica Chimica Acta, 2002, 461(2):189～200
[164]王宏,李庆波,刘则毅,徐可欣,遗传算法在近红外无创伤人体血糖浓度测量基础研究中的应用,分析化学,2002,30(7):779～783
[165]Liang Xu,Israel Schechter,Wavelength selection for simultaneous spectroscopic analysis,Experiment and theoretical study,Analytical Chemistry,1996,68(14):2392～2400
[166]XIE Shu-sen,LI Hui,LU Zu-kang.Overview of tissue optics[J].Physics,1998,27:599-604
[167]ISHIMARU A.Diffusion of light in turbid material.Appl Opt,1989,28:2210-2215
[168]ISHIMARU A.Wave propagation and scattering in random media.New York:Academic,1978
[169]BONNER R F,NOSSAL R,HAVLIN S,WEISS G H.Model for photon migration in turbid biological media.J OptSoc Am,1987,4:423-432.
[170]WANG L H.Monte Carlo modeling of light transport in multilayerd tissrus.University of Texas M D Anderson Cancer Center,1992
[171]Makolf H N 著,张振西译,激光与生物组织的相互作用-原理及应用,西安:西安交通大学出版社,1999,8(2):137～142
[172]赵友全,范世福,曹文新,生物组织光学特性参数及其描述,国外医学生物医学工程分册,2000,23(2):76～80
[173]谢树森,生物组织光学性质的测量原理与技术,中国生物医学工程学报,1997,16(4):327～332
[174]Prahl SA,Keijzer M,Jacques SL,Welch AJ.A Monte Carlo model of light propagation in tissue,Proc.SPIE.1989,IS5:102～111
[175]Keijzer M, Jacques SL,Prahl SA, Welch AJ.Light distribution in artery tissue:Monte Carlo simulations for finite-diameter laser beams.Lasers Surg.Med.1989,9:148-154
[176]Wison BC,Jacques SL.Optical reflectance and transmittance of tissues:principes and applications.IEEE J.Quant.Eletronics.1990,26(12):2186-2199
[177]Jacques SL.Sucmarizing Monte Carlo simulations by simple analytic exressions to describe photon transport in tissue.Proc.SPIE.1995,2326:2-10.
[178]Jacques SL,Wang LH.Monte Carlo modeling of light transport in tissue,in Optical-Thermal Response of Laser-Irradiated Tissue.Plenum Press,New York,1995
[179]Gardner GM,Jacques SL,Welch AJ.Light transport in tissue:accurate expressions for one-dimensional fluence rate and escape function based upon Monte Carlo simulation.Lasers in Surgery and Medicine.1996,18:129-138
[180]Zaccanti G.Monte Carlo stydy of light propagation in optically thick media:point source case.Applied Optics.1991,30(15):2031-2042
[181]Zaccanti G,Donelli P.Attenuation of energy in time-gated transillumination imaging:numerical results.Applied Optics.1994,33(30):7023-7030
[182]Wang LH, Jacques SL. Hybrid model of Monte Carlo simulation and diffusion theory for light reflection by turbid media.J.Opt.Soc.Am.A.1993,32:426-433
[183]Wang LH,Rapid modeling of diffuse reflectance of light in turbid slabs.Journal of Optical Society America.1998,15:936-944
[184]Wang LH,Jacques SL,Zheng LQ.CONB-Concolution for responses to a finite diameter photon beam incident on multi-layered tissues.Computer Methods and Programs in Biomedicine.1997,54:141-150
[185]Yao G,Wang LH.Monte Carlo simulation of optical coherence tomography in homogeneous turbid media.Physics in Medicine and Biology.1999,44:2307-2320
[186]Wang LH,Nordquist RE,Chen W.Optical beam size for light delivery to absorption-enhanced tumors buried in biological tissues and effect of multiple-beam delivery:a Monte Carlo study.Applied Optics.1997,36(31):8286-8289
[187]Marquez G,Wang LH,Lin SP,Schwartz JA,Thomsen SL.Anisotropy in the absorption and scattering spectra of chicken breast tissue.Applied Optics.1998,37:798-805
[188]Wang LH,Liang G.Absorption distribution of an optical beam foucused into a turbid medium.Applied Optics.1999,38:4951-4958
[189]Rakovic MJ,Kattawar GW,Mehrubeoglu M,Cameron BD,Wang LHet ac.Light backscattering polarization patterns from turbid media:theory and experiment,Applied Optics.1999,38:3399-3408
[190]丁海曙,王峰,苏畅等,近红外光子在生物组织中迁移的仿真及应用,清华大学学报自然科学版,1999,39(9)
[191] 骆 清 铭 等 , 生 物 组 织 中 激 光 传 输 规 律 的 模 拟 与 检 验 , 光 子 学报,1995,24(2):125～129
[192]Arnold N L, McNeill F E,Prestwich W V,et al.,System design for in vivo neutron activation analysis measurements of manganese in the human brain :based on Monte Carlo modeling,Applied Radiation and Isotopes,2000,53:651～656
[193]Feng S,Zeng F A,Chance B,Photon migration in the presence of a single defect,a perturbation analysis,Applied Optics,1995,34,3826～3837
[194]陆燧丽,毛慈波,光在组织中传输的光强分布的蒙特卡罗模拟.华中理工大学学报.1995,23(7): 1～5
[195]王建岗,王桂英,徐至展,光在分层散射介质中传输行为的蒙特卡罗模拟研究,光学学报,2000,20(3):346～350
[196]卢毅权,李正佳,光在多层生物组织中传输的蒙特卡罗模拟,华中理工大学学报,2000,28(3):102～104
[197]林煜,双层生物组织中光分布的蒙特卡罗模拟,激光杂志,1997,18(1):52～55
[198] 孙 威 等 , 用 蒙 特 卡 罗 方 法 研 究 生 物 组 织 中 的 光 分 布 , 光 学 学报,1994,14(1):97～101
[199]Tinet E et al., Fast Semianalytical Monte Carlo simulation for time-resolved light propagation in turbid media, Journal of Optical Society of America A,1996,3(9):1903～1915
[200]薛玲玲,王新宇等.生物组织中的光分布研究.光子学报. 2000
[201]钱盛友,邢达. 生物组织中有限束宽光吸收的蒙特卡罗模拟.激光生物学报 2002,11(2)
[202]宋宜昌,邢达.用蒙特卡罗方法模拟光在多层组织中的吸收特性. 激光生物学报 2002,11(1)
[203]张连顺,张春平等.生物组织中光传输的随机行走模型.南开大学学报(自然科学)2002,35(3)
[204]薛玲玲,张春平等. 多层生物组织中的光分布研究. 南开大学学报(自然科学), 2001,34(1)
[205]Prahl A S,Light transport in tissue, Ph.D thesis, The University of Texas at Austin(S December 1988), December 1988
[206]程树英,沈鸿元,用蒙特卡罗法研究面光源在血液中的传播,光电子.激光。2002,13(1)