Design of Low Cost Blood Glucose Sensing System Using Diffused Reflectance Near-Infrared Light

被引:4
|
作者
Yadav, Jyoti [1 ]
Rani, Asha [1 ]
Singh, Vijander [1 ]
Murari, Bhaskar Mohan [2 ]
机构
[1] NSIT, Instrumentat & Control Engn Div, New Delhi, India
[2] VIT Univ, Dept Sensors & Biomed, Vellore, Tamil Nadu, India
来源
NETWORKING COMMUNICATION AND DATA KNOWLEDGE ENGINEERING, VOL 1 | 2018年 / 3卷
关键词
Non-invasive; Blood glucose measurement; Near-infrared spectroscopy; ADAptive linear NEuron (ADALINE); Artificial neural network (ANN);
D O I
10.1007/978-981-10-4585-1_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The present work proposes a low cost and portable Non-Invasive Blood Glucose Measurement (NIGM) system based on Near-infrared (NIR) light. In vitro system using single LED (940 nm) with an array of photodetectors is fabricated. Regression analysis is carried out to study the relationship between detector output voltage and actual glucose concentration. Low RMSEC (reflectance: 12.87 mg/dl, transmittance: 15 mg/dl) of in vitro measurement motivated to design a sensor patch for non-invasive in vivo glucose measurement. The accuracy of our indigenous device was tested by comparing non-invasively estimated blood glucose with invasively measured blood glucose. To estimate the glucose concentration from the detector voltage signal an ADAptive Linear NEuron (ADALINE) based Neural Network structure is used. The calibration model is prepared using data of 10 non-diabetic subjects. The observed RMSEP was 14.92 mg/dl with correlation coefficient (0.87) in the case of In vivo experiment. The prediction of glucose concentration is in the clinically acceptable region of the standard Clark Error Grid (CEG). The proposed design of NIR light based glucose measurement can be used to develop an NIGM system.
引用
收藏
页码:197 / 216
页数:20
相关论文
共 50 条
  • [21] Rapid crude oil analysis using near-infrared reflectance spectroscopy
    Long, Jian
    Wang, Kai
    Yang, Minglei
    Zhong, Weimin
    PETROLEUM SCIENCE AND TECHNOLOGY, 2019, 37 (03) : 354 - 360
  • [22] Peach variety identification using near-infrared diffuse reflectance spectroscopy
    Guo, Wenchuan
    Gu, Jingsi
    Liu, Dayang
    Shang, Liang
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 123 : 297 - 303
  • [23] Surrogate Correlations and Near-Infrared Diffuse Reflectance Sensing of Trace Metal Content in Soils
    Chun-Yu Wu
    Astrid R. Jacobson
    Magdeline Laba
    Bojeong Kim
    Philippe C. Baveye
    Water, Air, & Soil Pollution, 2010, 209 : 377 - 390
  • [24] Surrogate Correlations and Near-Infrared Diffuse Reflectance Sensing of Trace Metal Content in Soils
    Wu, Chun-Yu
    Jacobson, Astrid R.
    Laba, Magdeline
    Kim, Bojeong
    Baveye, Philippe C.
    WATER AIR AND SOIL POLLUTION, 2010, 209 (1-4) : 377 - 390
  • [25] Prediction of pork quality using visible/near-infrared reflectance spectroscopy
    Savenije, B
    Geesink, GH
    van der Palen, JGP
    Hemke, G
    MEAT SCIENCE, 2006, 73 (01) : 181 - 184
  • [26] Near-Infrared Reflectance Spectroscopy is a Rapid, Cost-Effective Predictor of Seagrass Nutrients
    Ivan R. Lawler
    Lemnuel Aragones
    Nils Berding
    Helene Marsh
    William Foley
    Journal of Chemical Ecology, 2006, 32 : 1353 - 1365
  • [27] Near-infrared reflectance spectroscopy is a rapid, cost-effective predictor of seagrass nutrients
    Lawler, IR
    Aragones, L
    Berding, N
    Marsh, H
    Foley, W
    JOURNAL OF CHEMICAL ECOLOGY, 2006, 32 (06) : 1353 - 1365
  • [28] Miniaturized Optical Glucose Sensor Using 1600-1700 nm Near-Infrared Light
    Yang, Mingjie
    Dhanabalan, Shanmuga Sundar
    Robel, Md Rokunuzzaman
    Thekkekara, Litty Varghese
    Mahasivam, Sanje
    Rahman, Md Ataur
    Borkhatariya, Sagar
    Sen, Suvankar
    Walia, Sumeet
    Sriram, Sharath
    Bhaskaran, Madhu
    ADVANCED SENSOR RESEARCH, 2025, 4 (03):
  • [29] Application of Two-Dimensional Near-Infrared Correlation Spectroscopy in the Specificity Analysis of Noninvasive Blood Glucose Sensing
    Hu Yong-xiang
    Liu Rong
    Zhang Wen
    Xu Ke-xin
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (02) : 491 - 496
  • [30] New advancement in noninvasive measurement of blood glucose by near-infrared spectroscopy
    Li, QB
    Wang, Y
    Xu, KX
    OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS: DIAGNOSTICS AND TREATMENT, 2002, 4916 : 457 - 464