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公开(公告)号:US20240399059A1
公开(公告)日:2024-12-05
申请号:US18804372
申请日:2024-08-14
Applicant: INSULET CORPORATION
Inventor: Jason O'CONNOR , Joon Bok LEE , Trang LY , Yibin ZHENG , Thomas Arnold PEYSER , Jennifer Lena SCHNEIDER
Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.
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公开(公告)号:US20240307618A1
公开(公告)日:2024-09-19
申请号:US18675900
申请日:2024-05-28
Applicant: INSULET CORPORATION
Inventor: Joon Bok LEE , Yibin ZHENG , Jason O'CONNOR
CPC classification number: A61M5/1723 , A61M5/14244 , A61M2205/52 , A61M2230/201
Abstract: Exemplary embodiments provide an approach to predicting meal and/or exercise events for an insulin delivery system that otherwise does not otherwise identify such events. The insulin delivery system may use a model of glucose insulin interactions that projects estimated future glucose values based on the history of glucose values and insulin deliveries for the user. The predictions of meal events and/or exercise events may be based on residuals between actual glucose values and predicted glucose values. The exemplary embodiments may calculate a rate of change of the residuals over a period of time and compare the rate of change to thresholds to determine whether there likely has been a meal event or an exercise event. The insulin delivery system may then take measures to account for the meal or exercise by the user.
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73.
公开(公告)号:US20240252753A1
公开(公告)日:2024-08-01
申请号:US18633816
申请日:2024-04-12
Applicant: INSULET CORPORATION
Inventor: Yibin ZHENG , Joon Bok LEE , Steven CARDINALI , Jason O'CONNOR , Eric BENJAMIN , Ian MCLAUGHLIN , David NAZZARO , Ashutosh ZADE
IPC: A61M5/172 , A61M5/142 , G01N33/49 , G16H10/60 , G16H20/17 , G16H20/60 , G16H40/40 , G16H40/67 , G16H50/30 , G16H50/70
CPC classification number: A61M5/1723 , A61M5/14248 , G01N33/49 , G16H10/60 , G16H20/17 , G16H20/60 , G16H40/40 , G16H40/67 , G16H50/30 , G16H50/70 , A61M2005/1726 , A61M2205/505 , A61M2205/52 , A61M2230/201
Abstract: Disclosed are a device, system, methods and computer-readable medium products that provide an updated insulin-to-carbohydrate ratio and an updated total daily insulin. The described processes may be used for periodic updating of the insulin-to-carbohydrate ratio and the total daily insulin. The insulin-to-carbohydrate ratio and/or the total may be used in the calculation of new doses of insulin that a drug delivery device may be commanded to deliver to a user.
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公开(公告)号:US20240185980A1
公开(公告)日:2024-06-06
申请号:US18440058
申请日:2024-02-13
Applicant: INSULET CORPORATION
Inventor: Joon Bok LEE , Yibin ZHENG , Jason O'CONNOR , Trang LY , Eric BENJAMIN
CPC classification number: G16H20/17 , A61M5/1723 , G16H40/67 , A61M2205/18 , A61M2205/3584 , A61M2205/505 , A61M2230/201
Abstract: Disclosed are a device, a computer-readable medium, and techniques that provide an onboarding process and an adaptivity process for a drug delivery device. A processor executing an onboarding process determines whether a history of delivered insulin to a user meets certain sufficiency requirements. The onboarding process enables a processor to cause the drug delivery device to administer doses of insulin to a user according to an initial total daily insulin dose calculation that is determined based on the sufficiency of the insulin delivery history. The initial total daily insulin may be adapted according to the adaptivity process as new insulin delivery is collected. The insulin delivery history, when sufficient, may be used to set total daily insulin dosages that enable automated insulin delivery upon replacement of a drug delivery device. The adaptivity process may be implemented to modify an initial insulin delivery doses to provide adapted insulin delivery doses.
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75.
公开(公告)号:US20240009392A1
公开(公告)日:2024-01-11
申请号:US18350223
申请日:2023-07-11
Applicant: INSULET CORPORATION
Inventor: Joon Bok LEE , Joshua WILLIAMS , Jason O'CONNOR , Yibin ZHENG , Ashutosh ZADE
CPC classification number: A61M5/1723 , A61M5/14244 , A61M2202/0486
Abstract: Exemplary embodiments may determine anticipated basal insulin delivery action to a user from an insulin delivery device over a future time window. Indications of the anticipated basal insulin delivery action over the future time window may be output to the user. The exemplary embodiments may determine the anticipated basal insulin delivery action over the future time window based on a rate of change (ROC) of glucose level of the user by the insulin delivery device, a most recent (“current”) glucose level for the user and insulin on board (IOB) for the user. The exemplary embodiments may also determine whether the user is likely to experience a undesired high glucose level (e.g., hyperglycemia) and/or an undesired low glucose level (e.g., hypoglycemia) during the future time window. The exemplary embodiments may output recommendations based on the projected glucose levels of the user over the future time window.
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76.
公开(公告)号:US20230372613A1
公开(公告)日:2023-11-23
申请号:US18199476
申请日:2023-05-19
Applicant: INSULET CORPORATION
Inventor: Yibin ZHENG , Joon Bok LEE , Jason O'CONNOR
CPC classification number: A61M5/1723 , A61M5/14244 , A61M2205/52
Abstract: The exemplary embodiments may employ a glucose prediction model (GPM) that is tailored to a user to account for insulin sensitivity or insulin insensitivity. The exemplary embodiments may predict future glucose levels based on past glucose levels for the user. Specifically, the GPM in exemplary embodiments may predict the future glucose level of the user as a weighted sum of most recent glucose level readings from the user. The exemplary embodiments may employ linear regression analysis to determine the values of the weights. These weights customize the GPM of the user based on the user's most recent glucose level history. Due to the customization, the GPM may more accurately predict future glucose levels of the user. As a result, the AID may exhibit better glucose level control for the user. The GPM of the exemplary embodiments may be updated on an ongoing basis.
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公开(公告)号:US20230330337A1
公开(公告)日:2023-10-19
申请号:US18300201
申请日:2023-04-13
Applicant: INSULET CORPORATION
Inventor: Joon Bok LEE , Yibin ZHENG , Jason O'CONNOR , Ashutosh ZADE , Jonathan HARDY
IPC: A61M5/172
CPC classification number: A61M5/1723 , A61M2202/0486
Abstract: Disclosed herein are various embodiments comprising methods to propose or modify a basal profile of a user, wherein the basal profile is delivered by an automatic drug delivery system operating in manual mode or is administered manually by the user. Suggestions of initial basal profiles or modifications to existing basal profiles may be based on previous glucose control outcomes or previous insulin delivery as recorded by the automatic drug delivery system.
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78.
公开(公告)号:US20230293813A1
公开(公告)日:2023-09-21
申请号:US18321308
申请日:2023-05-22
Applicant: INSULET CORPORATION
Inventor: Steven DIIANNI , Ian MCLAUGHLIN , Jason O'CONNOR , Robert CAMPBELL , Kevin SCHMID
CPC classification number: A61M5/14566 , A61B5/14532 , A61B5/14865 , A61M5/14248 , F04B9/02 , A61M5/14244 , A61M5/1723 , A61M5/158 , A61M5/1452 , F04C2270/041 , A61M5/3291
Abstract: Disclosed is a fluid delivery device including a fluid reservoir and a transcutaneous access tool fluidly coupled to the fluid reservoir, wherein the transcutaneous access tool includes a needle or a trocar. The fluid delivery device may further include a transcutaneous access tool insertion mechanism for deploying the transcutaneous access tool, wherein the insertion mechanism is configured to insert and retract the needle/trocar in a single, uninterrupted motion.
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公开(公告)号:US20230285671A1
公开(公告)日:2023-09-14
申请号:US18119062
申请日:2023-03-08
Applicant: Insulet Corporation
Inventor: Joon Bok LEE , Jason O'CONNOR , Yibin ZHENG , Jonathan HARDY
CPC classification number: A61M5/1723 , G16H20/17 , A61M2230/201
Abstract: The exemplary embodiments provide an automated approach for adjusting the medicament delivery rate to the user when operating in an open loop manner (“open mode”). The approach relies upon an insulin delivery history to the user make adjustments to the medicament delivery rate in the open mode. In particular, the exemplary embodiments may look at the medicament delivery history while the medicament delivery device is operating in a closed loop manner (“closed mode”) to determine how to adjust the open mode medicament delivery rate. It is presumed that in closed mode, the control system of the medicament device has gained knowledge over time about how to control the medicament delivery rate to produce good treatment outcomes for the user. The exemplary embodiments leverage this knowledge to adjust the open mode medicament delivery rates. Medicament bolus deliveries in open mode may also be adjusted in like fashion.
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公开(公告)号:US20230256167A1
公开(公告)日:2023-08-17
申请号:US18186539
申请日:2023-03-20
Applicant: INSULET CORPORATION
Inventor: Joon Bok LEE , Mengdi LI , Jason O'CONNOR , Yibin ZHENG
CPC classification number: A61M5/1723 , G16H10/60 , G16H20/17 , G16H40/60 , A61M2205/50 , A61M2205/3584 , A61M2230/201
Abstract: Disclosed are techniques to establish initial settings for an automatic insulin delivery device. An adjusted total daily insulin (TDI) factor usable to calculate a TDI dosage may be determined. The adjusted TDI factor may be a TDI per unit of a physical characteristic of the user (e.g., weight) times a reduction factor. The adjusted TDI factor may be compared to a maximum algorithm delivery threshold. Based on the comparison result, the application or algorithm may set a TDI dosage and output a control signal. Blood glucose measurement values may be collected from a sensor over a period of time. A level of glycated hemoglobin of the blood may be determined based on the obtained blood glucose measurement values. In response to the level of glycated hemoglobin, the set TDI dosage may be modified. A subsequent control signal including the modified TDI dosage may be output to actuate delivery of insulin.
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