Sensor-based wearable system for the detection and automatic treatment of nocturnal hypoglycaemia

Abstract

Diabetic patients are prone to daily and severe health-related risks, namely hyper and hypoglycaemia. Hypoglycaemia phenomenon happens when the glucose level in patient's blood is lower than a well-determined sill. It may induce serious impacts, such as functional brain failure or even the death. Hypoglycaemia is especially dangerous when it occurs during the night while the patient is asleep because it becomes difficult to be detected by the patient itself or other persons around him. While all existing sensor-based solutions are detection-only driven, the proposed solution goes beyond and attempts to treat autonomously, and at low cost, the nocturnal hypoglycaemia. The presented system detects the nocturnal hypoglycaemia phenomenon based on accelerated heart-rate symptom and a progressive detection algorithm. The system treats then the detected nocturnal hypoglycaemia throughout safe and automatic injection of glucagon.

Keywords

• brain
• patient treatment
• diseases
• blood
• neurophysiology
• cardiology
• biochemistry
• sensors
• sugar
• biomedical equipment
• glucagon
• accelerated heart-rate symptom
• hyperglycaemia
• sensor-based solutions
• patient blood
• health-related risks
• daily health-related risks
• diabetic patients
• automatic treatment
• sensor-based wearable system
• progressive detection algorithm
• nocturnal hypoglycaemia phenomenon
• functional brain failure
• glucose level