Objective
There are 60 million people with diabetes in the EU (10% of total population). Diabetes is the major cause of death in the age of 20- 79. Also, Europe has the highest number of children with Type 1 diabetes (T1D) compared to other regions with approximately 140,000 diagnosed children and it has one of the highest prevalence rates of diabetes in children with 21,600 new cases per year. The frequent glucose monitoring is the key element in achieving good glycemic control which is the most important factor in preventing diabetes related complications such as diabetic retinopathy, kidney damage, heart disease, stroke and etc. Due to the high cost of the current CGM devices or pain associated with traditional finger-prick measurement, people cannot monitor their blood glucose level continuously. In 2015, 627,000 people aged between 20-79 died due to diabetes related complications. UK prospective study shows that continuous glucose monitoring leads to improved glycemic control, which in turn results in reduced diabetes related complications. Study shows that with continuous glucose monitoring diabetes related retinopathy and nephropathy (eye damage) in type 1 and type 2 diabetes decreased around 60% and microvascular complication rate decreased 25%.
Elektrosens Wristband uses a highly selective and accurate novel polymer technology sensing very low sweat glucose levels which are correlated to blood glucose. Our innovative solution makes the continuous glucose monitoring affordable for all customer segments. The main objectives of this product can be divided into two groups; mainly providing a sustainable healthy lifestyle and reducing the economic burdens., we now aim to introduce our technology to diabetes devices market seeing how our solution offers significant performance improvements and is market disrupting in its potential. Our new prototype designed and built, is currently at TRL6 stage.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesclinical medicineendocrinologydiabetes
- natural scienceschemical sciencespolymer sciences
- medical and health sciencesclinical medicineophthalmologyretinopathy
- medical and health sciencesbasic medicineneurologystroke
- medical and health sciencesmedical biotechnologytissue engineeringartificial pancreascontinuous glucose monitors
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
34220 ESENLER ISTANBUL
Türkiye
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.