Techniques to increase rate of adaptivity for total daily insulin
Inventors
Lee, Joon Bok • O'Connor, Jason • Zheng, Yibin • ZADE, Ashutosh
Assignees
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Publication Number
US-12741086-B2
Publication Date
2026-09-22
Expiration Date
Abstract
Disclosed are techniques, devices and systems that modify an insulin delivery schedule based on how sensitive a diabetic user may to fluctuations in their total daily insulin or fluctuations in their blood glucose measurement values. As a control algorithm calculates how to adapt the calculation of the user's total daily insulin, a rate of adaptivity function may be used in the calculation. The rate of adaptivity may depend on a number of factors and the disclosed techniques, devices and systems enable calculation of the rate of adaptivity to provide effective implementation or modification of a diabetic treatment plan.
Core Innovation
The disclosed techniques adjust the rate used to update total daily insulin (TDI) based on variability in recent insulin-delivery or blood-glucose data. A bounded adaptivity modification coefficient is derived using a ratio and minimum or maximum parameters, and is used to calculate a TDI setting. The insulin-delivery schedule is then modified based on that calculated setting.
The disclosed embodiments also describe asymmetric scaling, diabetes-type-specific settings, and a threshold that can reduce reliance on prior TDI history when adapting to substantial, persistent TDI decreases. Delivery-system architecture and insulin-data- and glucose-data-based adaptivity workflows provide adaptive control of delivery parameters.
Claims Coverage
The provided claims identify three independent claims: claim 1, claim 8, and claim 9. They cover three inventive features involving insulin-delivery-data-based adaptation, processor-executed instructions using blood-glucose data, and a wearable drug-delivery system using blood-glucose data.
Insulin-delivery-data-based adaptation
Independent claim 1 covers a wearable drug delivery device system whose processor obtains an insulin delivery data set, calculates the total amount of insulin delivered during a current period, determines a ratio using a percentage of a previous total amount and the standard deviation of the current total amount, and establishes an adaptivity rate factor and adaptivity modification coefficient. The processor generates a rate of adaptivity, calculates a total daily insulin setting, and modifies an insulin delivery schedule based on that setting.
Blood-glucose-data-based computer-readable instructions
Independent claim 8 covers a non-transitory computer readable medium with programming instructions that obtain a blood glucose data set and calculate the standard deviation of its measurement values. The instructions determine a ratio using a preset constant value and the stated standard deviation, establish a maximum value using the ratio and a minimum adaptivity parameter, and determine an adaptivity modification coefficient. The instructions then generate a rate of adaptivity, calculate a total daily insulin setting, and modify an insulin delivery schedule.
Blood-glucose-data-based wearable delivery system
Independent claim 9 covers a wearable drug delivery device system with a processor, communication circuitry, and memory. The processor obtains a blood glucose data set, calculates the standard deviation of its measurement values, establishes an adaptivity modification coefficient using a ratio, a minimum adaptivity parameter, and an adaptivity rate factor, and uses the coefficient to generate a rate of adaptivity. The processor calculates a total daily insulin setting and modifies an insulin delivery schedule based on it.
The independent claims cover two system implementations and one computer-readable-medium implementation. Across them, the claims recite calculating an adaptivity coefficient and rate, using that rate to calculate a total daily insulin setting, and modifying an insulin delivery schedule.
Stated Advantages
Not explicitly described in patent.
Documented Applications
The disclosed techniques are applied to modifying an insulin delivery schedule in a wearable drug delivery device system based on a calculated total daily insulin setting.
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