Real-time Adaptation to Changes in Insulin Sensitivity

"The APD algorithm is based largely on a program that employs the Fading Memory Proportional Derivative (FMPD) insulin and glucagon infusion algorithm. The FMPD algorithm determines insulin and glucagon delivery rates based on proportional error, defined as the difference between the current glucose level and the target level, and the derivative error, defined as the rate of change of the glucose. The fading memory designation refers to weighting recent errors more heavily than remote errors.~The APD algorithm, like the FMPD algorithm, will determine insulin and glucagon infusion rates based on sensed glucose values and utilizes the derivative and proportional glucose error to determine delivery rates of insulin. However, the APD algorithm has a model predictive element which also leads to frequent measurement of tissue sensitivity to insulin."

"The APD algorithm is based largely on a program that employs the Fading Memory Proportional Derivative (FMPD) insulin and glucagon infusion algorithm. The FMPD algorithm determines insulin and glucagon delivery rates based on proportional error, defined as the difference between the current glucose level and the target level, and the derivative error, defined as the rate of change of the glucose. The fading memory designation refers to weighting recent errors more heavily than remote errors.~The APD algorithm, like the FMPD algorithm, will determine insulin and glucagon infusion rates based on sensed glucose values and utilizes the derivative and proportional glucose error to determine delivery rates of insulin. However, the APD algorithm has a model predictive element which also leads to frequent measurement of tissue sensitivity to insulin."