Internet of Things based Real-Time Hyperglycemia and Hypoglycemia Monitoring using Wearable Biosensors

Using non-invasive wearable devices and the Internet of Healthcare Things, blood glucose levels can now be monitored more accurately. Maintaining stable blood glucose levels is an ongoing problem for intensive care unit patients and pregnant women on a day-to-day basis. In order to deal with abnormal blood glucose levels, several clinical studies have established criteria and recommended continuous glucose monitoring. Glucose monitoring at the bedside has become more popular as a way to help patients better control their blood sugar levels. Because of the importance of technology in internet-based healthcare systems, cost-effective ICU glucose control must be addressed. Patients in intensive care units, women who are pregnant, and those who are separated from the rest of society were the primary focus of this research. This research developed the Internet of Healthcare-Things based wearable gadget for real-time Hypoglycemia and Hyperglycemia monitoring (iHM) using bio-sensors. The iHM device is 98.02 percent accurate after a 10-hour fasting and 97.40 percent accurate two hours after a breakfast. This architecture sends real-time blood glucose data to AWS IoT Core, making the job of nurses simpler and reducing burnout.