Determination of the reference position in the near-infrared non-invasive blood glucose measurement in vivo

2016 ◽  
Author(s):  
Guang Han ◽  
Jin Liu ◽  
Rong Liu ◽  
Kexin Xu
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Reference Position ◽  
Non Invasive

scholarly journals Non-Invasive Blood Glucose Measurement Technique for Diabetic Patients

2020 ◽  
Vol 9 (3) ◽  
pp. 4341-4345
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Chemical Substance ◽  
Blood Glucose Measurement ◽  
Glucose Measurement ◽  
Diabetic Patients ◽  
Blood Samples ◽  
Non Invasive ◽  
Invasive Method ◽  
Precise Quantification

Diabetes mellitus is one of the most spreading diseases prevalent in the world. The Diabetic patients where in desideratum of monitoring their blood glucose level conventionally for a certain periodic of time. If they were nescient of their checkup it may lead to sundry symptoms like the feel profoundly slothful, tired etc. So they require for a periodic check up without fail. In clinic the prefer syringes for amassing the samples,in some worst cases there will be a possibility of unhydrated syringes . For checking they were in desideratum of a modicum of blood samples. For a precise quantification they will integrate some chemical substance to detect the value. While taking blood samples they feel so uncomfortable, pain and if the syringes where already used are not felicitously sterilized it may lead to sundry disease. The another method for quantifying the sample is a non-invasive. In non-invasive method there will be no desideratum of any syringe. It will be pain less and withal comfortable for the patients. In this paper we are introducing a non-invasive method in lieu of invasive method to be liberate from pain. Our proposed system consists of near infrared transmitter and receiver , a light dependent resistor etc,. The rays are sanctioned to passes through the finger it will quantify the glucose present in our cell and the output is given to the processor. The processed output will determine the quantity of glucose present in the blood . Then determinately the obtained output will be exhibited in the Liquid Crystal Exhibit.

A New, Non-Invasive in vivo Optical Blood Glucose Measurement Technique Using Near-Infrared Radiation (“Pulse Glucometry”) and a Proposal for “Pulse Hemo-Photometry” Blood Constituent Measurements

2012 ◽  
pp. 18-26
Author(s):  
Mitsuhiro Ogawa ◽  
Takehiro Yamakoshi ◽  
Kenta Matsumura ◽  
Kosuke Motoi ◽  
Ken-Ichi Yamakoshi
Keyword(s):  
Blood Glucose ◽  
Optical Density ◽  
Near Infrared ◽  
Blood Glucose Measurement ◽  
Blood Constituents ◽  
Non Invasive ◽  
Arterial Blood ◽  
Multiple Wavelengths ◽  
Blood Constituent

A recently proposed optical method for a non-invasive in vivo blood glucose level (BGL) measurement named “pulse glucometry” is introduced. This method is based on near-infrared living body spectroscopy to accurately obtain blood information. The remarkable feature of the method is the measurement of both the total transmitted radiation spectra in wavelength ? (I?) and the cardiac-related pulsatile component (?I?). When ?I? is superimposed on I?, the differential optical density (?OD?), which includes only arterial blood information, is obtained, thus avoiding interference from living tissues other than arterial blood. Another feature is the ability to measure the differential optical density (?OD?) in multiple wavelengths to avoid interference from blood constituents other than the target blood chemical (glucose). To support this methodology, a very fast near-infrared spectroscopic system was developed to obtain a photoplethysmographic cardiac signal with a resolution of 8 nm over a wavelength range of 900 to 1700 nm at a 100 Hz sampling frequency. An example of an in vivo BGL measurement is shown and indicates good prediction capabilities. This method can be expanded to the measurement of other blood constituents.

scholarly journals Non-Invasive Blood Glucose Estimation using Handheld Near Infra-Red Device

2019 ◽  
Vol 8 (3S) ◽  
pp. 16-19 ◽  
Keyword(s):  
Blood Glucose ◽  
Near Infrared ◽  
Blood Glucose Measurement ◽  
Partial Least Square ◽  
Least Square ◽  
Blood Glucose Monitoring ◽  
Glucose Measurement ◽  
Coefficient Of Determination ◽  
Diabetic Patients ◽  
Non Invasive

Non-invasive blood glucose measurement would ease everyday life of diabetic patients and may cut the cost involved in their treatments. This project aims at developing a non-invasive blood glucose measurement using NIR (near infrared) spectroscopic device. NIR spectra data and blood glucose levels were collected from 45 participants, resulting 90 samples (75 samples for calibration and 15 samples for testing) in this project. These samples were then used to develop a predictive model using Interval Partial Least Square (IPLS) regression method. The results obtained from this project indicate that the handheld micro NIR has potential use for rapid non-invasive blood glucose monitoring. The coefficient of determination (R 2 ) obtained for calibration/training and testing dataset are respectively 0.9 and 0.91.

scholarly journals Non-invasive blood glucose measurement by near infrared spectroscopy: Machine drift, time drift and physiological effect

2010 ◽  
Vol 24 (6) ◽  
pp. 629-639 ◽  
Author(s):  
Simon C. H. Lam ◽  
Joanne W. Y. Chung ◽  
K. L. Fan ◽  
Thomas K. S. Wong
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Near Infrared ◽  
Drift Time ◽  
Nir Spectroscopy ◽  
Physiological Effect ◽  
Blood Glucose Measurement ◽  
Partial Least Square ◽  
Glucose Measurement ◽  
Non Invasive

The aim of this paper is to evaluate development of the non-invasive blood glucose measurement of near infrared (NIR) spectroscopy. The results showed that NIR spectroscopy might obtain glucose concentration of up to 200% difference under a same environmental condition with two months apart due to time and machine drifts. These effects can restrict the development of the non-invasive blood glucose measurement. Partial least square (PLS) regression was used, which showed advantage over using simple absorbance for glucose concentration. Non-invasive blood glucose measurement of health subjects (non-diabetics) was also investigated. The results showed that R correlation coefficient of prediction (Rp) was 0.48 and root mean square of prediction (rmsep) was 1.34 mmol/l. The error was mainly due to the physiological effect of different subjects.

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