A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
Diabetes is a serious health concern and declared as global epidemic by WHO due to its rapidly increasing incidence. It is a major cause of mortality worldwide. For a diabetic patient maintenance of blood glucose level within the physiological range is essential to lead a healthy life. The frequent...
Saved in:
Format: | Thesis |
---|---|
Language: | English |
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77983/4/Md%20Shawkat.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of permittivity and glucose level of blood, urine and saliva in normal subjects /
by: Tehrani, Mansooreh Shariatmadare
Published: (2011) -
The Effect Of Professional Continuous Glucose Monitoring On Glycaemic Control Gestational Diabetes Mellitus/
by: Abinash Kaur Karam Singh
Published: (2015) -
Design of band-notched ultra wideband microstrip patch antennas /
by: Ahmed, Mohamed Shihab
Published: (2016) -
Stepped impedance interdigital capacitive RF sensor for continous blood glucose monitoring /
by: Muhammad Farhan Affendi Mohamad Yunos
Published: (2021) -
Identification of potential plasma protein markers for gestational diabetes mellitus
by: Sangaran, Puspha Gandi
Published: (2012)