Abstract:
Diabetes type 2, (t2dm) is a chronic disease that affects the insulin level of the body. Glucose is a class of sugar in human blood, blood glucose is the primary source of energy to the cell body of human autonomy. Almost 9.3% of the global population is effective by diabetes and 6.28 % effect only by d2dm. The prevalence of type 2 diabetes mellitus (d2dm) in Pakistan is approximately 11.77% of the population. A major problem is the control and regular observation of diabetes mellitus type 2(t2dm) patients. Many issues in this disease are a sampling of blood, timely analysis, age factor, skin infection, blood transmitted disease, and many applications are designed for analysis of t2dm these application work for fitness and patient analysis data records (Christiansen, Bailey, et al. 2013) so, that is not enough for cure diseases and to improve quality of life of a patient. We needed the most favorable application and devices for treatment and pre-causation. Ours contributes in alter the system and sample techniques for t2dm. This system alerts nearby people including a doctor with the help of this method and we use spectrum techniques for blood sampling from patients. In two critical situations mentioned now, one is hyperglycemia (shout level of sugar) and the other is hypoglycemia (minimal concentration) both are abnormalities. Constantly sampling by body liquid causes inflection and allergic reactions from blood picking due to body pricking techniques. Body prick is caused by other diseases that penetrate through blood streaming such as hepatitis and HIV.
Page(s):
89-89
DOI:
DOI not available
Published:
Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023
Keywords:
IoT
,
Diabetes
,
WSN
,
patient care
,
eHealth