Determination of Glucose concentration from Near Infrared Spectra using Least Square Support Vector Machine

被引：0
|
作者：
Malik, Bilal Ahmad [1 ]
机构：
[1] Univ Kashmir, Univ Sci & Instrumentat Ctr, Srinagar, Kashmir, India
来源：
2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INSTRUMENTATION AND CONTROL (ICIC) | 2015年
关键词：
Non-invasive glucose measurement; Machine Learning; LS-SVM; NIR; Calibration; SEP; SEC; LS-SVM; SPECTROSCOPY; CHEMOMETRICS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the many challenges for translating noninvasive glucose measurement into clinical practice is the calibration of the measuring instrument. In this work, least squares support vector regression (LS-SVR) has been used to develop a multivariate calibration model for determination of glucose concentration from near infra-red (NIR) spectra. The behaviour of developed model is studied on NIR spectra of a mixture composed of glucose, urea, and triacetin which spans from 2100 nm to 2400 nm with a spectral resolution of 1nm. The proposed model improved the standard error of prediction (SEP) from 49.4 mg/dL in case of Principal Component Regression (PCR) and 27.5 mg/dL in case of Principal Least Squares Regression (PLSR) to 19.4mg/dL.
引用
收藏
页码：475 / 478
页数：4
相关论文
共 50 条
  • [1] Determination of Glucose Concentration from Near-Infrared Spectra Using Locally Weighted Partial Least Square Regression
    Malik, Bilal
    Benaissa, Mohammed
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 6169 - 6171
  • [2] Application of Least Square Twins Support Vector Machine in Near Infrared Spectrometry
    Song Xiang-Zhong
    Chen Chang-Zhou
    Min Shun-Geng
    He Xiong-Kui
    Li Zheng
    Mi Jin-Rui
    Zhang Lu-Da
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2012, 40 (06) : 950 - 954
  • [3] Least square support vector machine for citrus greening by use of near infrared spectroscopy
    Liu, Yande
    Xiao, Huaichun
    Sun, Xudong
    Han, Rubing
    Ye, Lingyu
    Liu, Deli
    SECOND INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING, 2017, 10256
  • [4] Discrimination of Types of Polyacrylamide Based on Near Infrared Spectroscopy Coupled with Least Square Support Vector Machine
    Zhang Hong-guang
    Yang Qin-min
    Lu Jian-gang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (04) : 972 - 976
  • [5] Methanol content determination in methanol diesel with mid infrared spectroscopy analysis using least square support vector machine
    Ouyang A.-G.
    Tang T.-Y.
    Zhou X.
    Liu Y.-D.
    Ouyang, Ai-Guo (ouyangaiguo1968711@163.com), 2016, Editorial Office of Chinese Optics (37): : 1253 - 1258
  • [6] Forecasting the runoff using least square support vector machine
    Feng Lijun
    Li Shuquan
    PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON AGRICULTURE ENGINEERING, 2007, : 884 - 889
  • [7] Medicine composition concentration analysis based on least square support vector machine
    Guo, XC
    Chen, ZY
    Teng, LR
    Wu, CG
    Du, TB
    Lu, JH
    Meng, QF
    Liang, YC
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 3704 - 3707
  • [8] Least Square Transduction Support Vector Machine
    Rui Zhang
    Wenjian Wang
    Yichen Ma
    Changqian Men
    Neural Processing Letters, 2009, 29 : 133 - 142
  • [9] Least Square Transduction Support Vector Machine
    Zhang, Rui
    Wang, Wenjian
    Ma, Yichen
    Men, Changqian
    NEURAL PROCESSING LETTERS, 2009, 29 (02) : 133 - 142
  • [10] Weighted Least Square - Support Vector Machine
    Cuong Nguyen The
    Phung Huynh The
    2021 RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES (RIVF 2021), 2021, : 168 - 173
12345