Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy
Diabetes is a chronic metabolic disorder which can lead to severe complications and affect
all vital organs. The occurrence of complications due to diabetes can be prevented by …
all vital organs. The occurrence of complications due to diabetes can be prevented by …
Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring
Diabetes, a disorder in the control of blood-glucose levels, is one of the most serious
metabolic diseases worldwide. Among the investigated technologies for continuous glucose …
metabolic diseases worldwide. Among the investigated technologies for continuous glucose …
Backpropagation neural network-based machine learning model for prediction of blood urea and glucose in CKD patients
Diabetes mellitus and its complication such as heart disease, stroke, kidney failure, etc. is a
serious concern all over the world. Hence, monitoring some important blood parameters non …
serious concern all over the world. Hence, monitoring some important blood parameters non …
A comparison of electronic nose and gas chromatography–mass spectrometry on discrimination and prediction of ochratoxin A content in Aspergillus carbonarius …
This study investigated discrimination and prediction of ochratoxin A (OTA) in three
Aspergillus carbonarius strains cultured grape-based medium using E-nose technology and …
Aspergillus carbonarius strains cultured grape-based medium using E-nose technology and …
Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy
In this study, we tackle the accurate prediction of glucose aqueous concentration from hardly
distinguishable near-infrared (NIR) spectroscopy. We adopted several machine learning …
distinguishable near-infrared (NIR) spectroscopy. We adopted several machine learning …
Accuracy enhancement for noninvasive glucose estimation using dual-wavelength photoacoustic measurements and kernel-based calibration
Frequent monitoring of blood glucose levels is an essential part of diabetes care, but the
invasiveness of current devices deters regular measurement. Noninvasive measurement …
invasiveness of current devices deters regular measurement. Noninvasive measurement …
A study on accumulation of volatile organic compounds during ochratoxin a biosynthesis and characterization of the correlation in Aspergillus carbonarius isolated …
Volatile organic compounds (VOCs) and ochratoxin A (OTA) were detected in Aspergillus
carbonarius strains (AF, SD26 and SD27) during a 7-day growing period, using HS-SPME …
carbonarius strains (AF, SD26 and SD27) during a 7-day growing period, using HS-SPME …
Investigation of goodness of model data fit using PLSR and PCR regression models to determine informative wavelength band in NIR region for non-invasive blood …
Diabetes mellitus is a metabolic disorder characterized by the deficiency in insulin secretion
or insulin action on target tissues. Diabetes being diagnosed, requires frequent monitoring …
or insulin action on target tissues. Diabetes being diagnosed, requires frequent monitoring …
Blood glucose prediction using machine learning on jetson nanoplatform
Monitoring blood glucose non‐invasively is utmost important with good accuracy. Here, we
developed a blood glucose monitoring system with 5‐fixed LED wavelengths in Near …
developed a blood glucose monitoring system with 5‐fixed LED wavelengths in Near …
Development of Altera NIOS II Soft-core system to predict total Hemoglobin using Multivariate Analysis
Abstract In Today's world, Hemoglobin is measured using an invasive method. This method
leads to delayed diagnosis, painful experiences for patients, and a lot of biomedical waste …
leads to delayed diagnosis, painful experiences for patients, and a lot of biomedical waste …