CGM Algorithms

CGM (Continuous Glucose Monitoring) algorithms analyze data from a sensor that tracks blood sugar levels in real time. They use mathematical models to interpret this data, filtering out noise and identifying patterns. This allows the system to accurately track current glucose levels and forecast future trends, such as rises or drops. The algorithms adjust insulin delivery or provide alerts accordingly, helping people manage their blood sugar more effectively. They combine statistical techniques and machine learning to improve accuracy and reliability, ultimately supporting better diabetes management through timely, data-driven insights.