Abstract
Non-invasive Glucose Measurement (NGM) technology makes great sense for the blood glucose management of patients with hyperglycemia or hypoglycemia. Individual Discrepancies (IDs), e.g., skin thickness and color, not only block the development of NGM, but also become the reason why NGM cannot be widely used. To solve this problem, our solution is designing an individual customized NGM model that can measure these discrepancies through multi-wavelength and tune parameters for glucose estimating. In this paper, an NGM prototype is designed, and a learning model for glucose estimating with automatically parameters tuning based on Independent Component Analysis (ICA) and Random Forest (RF) is presented. The clinic trial proves that the correlation coefficient between estimation and reference Blood Glucose Concentration (BGC) can reach 0.5 after merely 10 times of learning, and rise to 0.8 after about 60 times of learning.
Highlights
Diabetes mellitus is a metabolic disorder of multiple aetiologies characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat, and protein metabolism resulting from defects in insulin secretion, insulin action, or both [1]
A series of clinical trials have been performed to verify the accuracy of the non-invasive glucose meter
A non-invasive blood glucose meter based on multi-wavelength absorbance is studied
Summary
Diabetes mellitus is a metabolic disorder of multiple aetiologies characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat, and protein metabolism resulting from defects in insulin secretion, insulin action, or both [1]. Blood Glucose Measurement technology is necessary for people whose blood glucose is unbalanced to control their glucose level. Boyd has pointed out that a blood glucose measurement with an error of less than 10% every 5 min can significantly reduce the harm caused by hyperglycemia or hypoglycemia [4]. Most of the blood glucose meters currently available on the market are invasive, which needs to puncture the fingers to collect blood as a measurement sample. This measurement method will cause pain to the patient and is not convenient for young children, which can lead to inefficient self-monitoring and is not suitable for continuous glucose monitoring
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
