scholarly journals Determination of NIR informative wavebands for transmission non-invasive blood glucose measurement using a Fourier transform spectrometer

AIP Advances ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 035216 ◽  
Author(s):  
Wenming Yang ◽  
Ningfang Liao ◽  
Haobo Cheng ◽  
Yasheng Li ◽  
Xueqiong Bai ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Blood Glucose ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Fourier Transform Spectrometer ◽  
Non Invasive

scholarly journals NOVEL APPROACHES TO NON-INVASIVE BLOOD GLUCOSE MEASUREMENT

2017 ◽  
Vol 16 (2) ◽  
pp. 59-64
Author(s):  
Kh. A. Kurdanov ◽  
A. D. Elbaev ◽  
A. D. Elbaeva ◽  
R. I. Elbaeva
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Non Invasive ◽  
Novel Approaches

Non-Invasive Optical Blood Glucose Measurement based on Discrete Fourier Transform and Fast Artificial Neural Network: Fasting Normal Glucose Participants Case Study

2019 ◽  
Author(s):  
Renan Prasta Jenie ◽  
Evy Damayanthi ◽  
Irzaman Irzaman ◽  
Rimbawan Rimbawan ◽  
Dadang Sukandar ◽  
...  
Keyword(s):  
Neural Network ◽  
Clinical Trial ◽  
Artificial Neural Network ◽  
Fourier Transform ◽  
Blood Glucose ◽  
Discrete Fourier Transform ◽  
Glucose Measurement ◽  
Non Invasive ◽  
Artificial Neural

A prototype non-invasive blood glucose level measurement optical device (NI-BGL-MOD) has been developed. The NI-BGL-MOD uses a discrete Fourier transform (DFT) method and a fast artificial neural network algorithm to optimize device performance. The appropriate light-emitting diode for the sensory module was selected based on near-infrared spectrophotometry of a blood glucose model and human blood. DFT is implemented in an analog-to-digital converter module. An in vitro trial using the blood glucose model along with a clinical trial involving 110 participants were conducted to evaluate the performance of the prototype. The root-mean-square error of the prototype was 10.8 mg/dl in the in vitro trial and 3.64 mg/dl in the clinical trial, which is lower than the ISO-15197:2016 mandated value of 10 mg/dl. In each trial, consensus error grid analysis indicated that the measurement error was within the safe range. The sensitivity and specificity of the prototype were 0.83 (0.36, 1.00) and 0.90 (0.55, 1.00) in the in vitro trial and 0.81 (0.75, 0.85) and 0.83 (0.78, 0.87) in the clinical trial, respectively. In general, the proposed NI-BGL-MOD demonstrated good performance than gold-standard measurement. Key words: Non-invasive blood glucose measurement, optical device, discrete Fourier transform, multi-formulatric regression, fast artificial neural network

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