Algorithm and Related Application for Smart Wearable Devices to Reduce the Risk of Death and Brain Damage in Diabetic Coma

TL;DR

This paper proposes a novel algorithm for smart wearable devices, particularly smart watches, to detect diabetic coma and alert emergency contacts, aiming to reduce death and brain damage risks among diabetic patients.

Contribution

The paper introduces a new algorithm for wearable devices to detect diabetic coma using sensor data, enhancing early intervention capabilities.

Findings

Algorithm can identify coma-related conditions based on sensor readouts

Potential to save lives through timely alerts

Widely applicable for diabetic patient safety

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.