Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
"Noninvasive Blood Glucose Monitoring System Based on Distributed Multi-Sensors Information Fusion of Multi-Wavelength NIR"
written by Bo Zeng, Wei Wang, Na Wang, Funing Li, Fulong Zhai, Lintao Hu,
published by Engineering, Vol.5 No.10B, 2013
has been cited by the following article(s):
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[3] Blood glucose sensors and recent advances: A review
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[8] Wearable-band Type Visible-Near Infrared Optical Biosensor for Non-invasive Blood Glucose Monitoring
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[9] Modern noninvasive methods for monitoring glucose levels in patients: a review
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[10] Non-Invasive Glucose Measurement Techniques using Near-Infrared Spectroscopy
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[11] NON-INVASIVE BLOOD GLUCOSE ANALYSIS BASED ON GALVANIC SKIN RESPONSE FOR DIABETIC PATIENTS
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[12] MEMS-Based Acetone Vapor Sensor for Non-Invasive Screening of Diabetes
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[13] NEAR INFRARED SENSING FOR RRIM CLONE SERIES CLASSIFICATION UTILIZING OPTICAL SENSING TECHNIQUE
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[14] Intelligent Non-Invasive Blood Glucose Measurement
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[15] Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Ağları ile Kestirimi Estimation of Low Sucrose Concentrations by UV-Vis …
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[16] A Method of Information Fusion Based on Fuzzy Neural Network and Its Application
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[17] Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Ağları ile Kestirimi Estimation of Low Sucrose Concentrations by UV-Vis …
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[18] Düşük sükroz derişimlerinin görünür bölge spektroskopisi ve yapay sinir ağları ile kestirimi
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[19] Estimation of low sucrose concentrations by UV-Vis spectroscopy and artificial neural networks
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[20] Simulating multisensor noninvasive blood glucose monitoring systems
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[21] Estimation of glucose concentration in solution using near infrared spectroscopy and artificial neural network
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[22] Statistical inference for classification of RRIM clone series using near IR reflectance properties
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[23] Multisensor noninvasive blood glucose monitoring system
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[24] Glikoz çözeltisi derişiminin optik ölçümler ve yapay sinir ağları kullanılarak kestirimi
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