Algorithm and Related Application for Smart Wearable Devices to Reduce the Risk of Death and Brain Damage in Diabetic Coma
October 08, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Vahid Hosseini
arXiv ID
1510.02196
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of diabetic patients. Diabetic coma which happens with extreme high or low blood glucose is one of the risk factor for diabetic patients and if it remains unattended will lead to patient death or permanent brain damage. To reduce the risk of such deaths or damages, a novel algorithm for wearable devices application, especially for smart watches are proposed. Such application can inform the patients relatives or emergency centers, if the person falls in coma or irresponsive condition based on readouts from smart watches sensors including mobility, heart rate and skin moisture. However; such an application is not a final solution to detect all types of coma, but it potentially could save lives of many patients, if widely used among the diabetic patients around the world.
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