We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Non-invasive Blood Glucose Determination using Near Infrared LED.
- Authors
Ramadas, Geetha; Vimala, M.; kaleel, Mohamed Wasim Ansari; K., Vishnu Vardhan Reddy; K., Vijaya Vignesh; V., Thangabalu; M., Tharani Tharan
- Abstract
Diabetes Mellitus in human beings is an inability to produce adequate insulin or process them which will cause a rise in blood sugar level. To maintain the blood glucose level check-up at a regular interval is required. The conventional method available currently involves pricking which irritates skin when done repeatedly. The objective of this paper is to overcome the painful process and to be noninvasive. Our proposed system is based on the NIR (near-infrared) spectroscopy method of a selected wavelength which is more sensitive to blood glucose. This helps to reduce the error factor and the system is implemented with machine learning to improve the efficiency of the output.
- Subjects
MACHINE learning; HUMAN beings; DIABETES
- Publication
Turkish Online Journal of Qualitative Inquiry, 2021, Vol 12, Issue 5, p2336
- ISSN
1309-6591
- Publication type
Article