Enhanced Insulin Delivery Rate Adjustment System
Legal Citation
Summary of the Inventive Concept
An advanced system for adjusting insulin delivery rates, incorporating machine learning and real-time glucose data analysis to optimize insulin delivery for individuals with diabetes.
Background and Problem Solved
The original patent, 'Adjusting insulin delivery rates', addressed the need for personalized insulin delivery. However, it had limitations in terms of predicting future glucose levels, handling fear of hypoglycemia, and adapting to changing glucose trends. The new inventive concept builds upon the original patent, providing enhanced features to overcome these limitations.
Detailed Description of the Inventive Concept
The system comprises a glucose measurement device, a processor, and a controller. The processor predicts multiple future blood glucose levels for multiple different basal insulin delivery profiles, and the controller selects the optimal profile that minimizes differences between predicted future blood glucose values and target blood glucose values. The system can also receive glucose data, calculate a probability of achieving a target blood glucose level, and select an optimal basal insulin delivery profile based on the calculated probability. Additionally, the system can obtain a fear of hypoglycemia index from a user, calculate a personalized basal insulin delivery rate, and deliver insulin accordingly. The system can adapt to changing glucose trends by identifying trends in glucose data and adjusting the basal insulin delivery rate in real-time.
Novelty and Inventive Step
The new inventive concept introduces the use of machine learning algorithms to predict multiple future blood glucose levels, enabling the selection of an optimal basal insulin delivery profile. The system's ability to adapt to changing glucose trends and incorporate fear of hypoglycemia indices into insulin delivery decisions are also novel and non-obvious improvements over the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the system could include using different machine learning algorithms, incorporating additional health metrics (e.g., exercise, diet), or integrating with wearable devices. Variations could include implementing the system in different form factors, such as a mobile app or a dedicated device.
Potential Commercial Applications and Market
The enhanced insulin delivery rate adjustment system has significant commercial potential in the diabetes management industry, with potential applications in personalized medicine, real-time glucose monitoring, and artificial pancreas systems. The target market includes individuals with diabetes, healthcare providers, and medical device manufacturers.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61M5/1723 |
| A | A61 | A61B5/14532 |
| A | A61 | A61B5/4839 |
| A | A61 | A61M5/142 |
| A | A61 | A61M5/145 |
| A | A61 | A61M5/14244 |
| A | A61 | A61M5/14248 |
| G | G16 | G16H20/17 |
| G | G16 | G16H40/60 |
| G | G16 | G16H40/67 |
| A | A61 | A61B2562/0295 |
| A | A61 | A61M2005/14208 |
| A | A61 | A61M2205/3303 |
| A | A61 | A61M2205/3553 |
| A | A61 | A61M2205/3561 |
| A | A61 | A61M2205/3569 |
| A | A61 | A61M2205/3584 |
| A | A61 | A61M2205/502 |
| A | A61 | A61M2205/52 |
| A | A61 | A61M2230/005 |
| A | A61 | A61M2230/201 |
| G | G16 | G16H10/60 |
| G | G16 | G16H40/40 |
| G | G16 | G16H50/30 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device technology focused on diabetes management, insulin delivery systems, and personalized medical monitoring, requiring expertise in biomedical engineering, medical device design, data analysis, and metabolic health monitoring
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device specialist with advanced knowledge of diabetes management technologies, proficient in machine learning, data processing algorithms, and physiological monitoring systems, holding at least a master's degree with 3-5 years of specialized experience
Obviousness Rationale
A person having ordinary skill in the art would recognize that the PTD's machine learning-based insulin delivery optimization represents a predictable technological progression from the source patent's foundational glucose management approach. The disclosed variations leverage known machine learning techniques to enhance insulin delivery prediction and personalization, which would be a natural evolutionary step for a skilled practitioner seeking to improve diabetes management technologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,763 |
|---|---|
| Title | Adjusting insulin delivery rates |
| Assignee(s) | INSULET CORPORATION |