Infusion Pump Meal Bolus Control Without Carb Counting

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Solution Overview

Problem

Existing infusion pump systems struggle to accurately adjust insulin delivery in response to a user's varying insulin response due to daily activities and meal consumption, leading to manual errors and reduced therapy effectiveness.

Innovation Solution

A closed-loop control system that adjusts insulin delivery based on historical data and anticipated meal events, automatically determining meal bolus dosages without carbohydrate counting, and accounting for user-specific physiological responses to meals and activities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual carbohydrate counting is used to determine bolus dosage, then the user can control insulin delivery, but manual errors increase and patient workload increases

Engineering Contradiction:
Improvetherapy effectivenessVSAvoidpatient workload
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system automatically determines bolus dosages by analyzing historical meal data and nutritional information without requiring manual carbohydrate counting. The processor-implemented method autonomously calculates insulin dosages based on stored historical data, eliminating the need for patient intervention in dosage calculation while maintaining therapy effectiveness.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system utilizes historical meal data and nutritional information as feedback to automatically adjust and determine appropriate bolus dosages. By continuously analyzing past meal patterns and nutritional content, the system refines its dosage recommendations, reducing manual errors while maintaining effective glucose control.

Inventive Principle:
Principle #23Feedback

2Reliability

If insulin delivery is adjusted based on user activities and meal consumption, then glucose control improves, but system complexity increases

Engineering Contradiction:
Improveglucose controlVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-stores historical meal data and nutritional information in a database before they are needed for dosage calculation. By having this data readily available in advance, the system can quickly determine bolus dosages without complex real-time analysis, simplifying the control logic while maintaining accurate glucose control.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system replaces manual mechanical carbohydrate counting with an automated electronic processing system. The processor automatically analyzes stored historical data and nutritional information to determine dosages, substituting the manual mechanical process with an electronic automated system that reduces complexity in operation while improving glucose control reliability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If automated bolus determination is implemented, then manual errors are reduced, but data processing requirements increase

Engineering Contradiction:
Improvedosage accuracyVSAvoiddata processing burden
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system stores historical meal data and nutritional information in advance in a structured database format. By preparing this data beforehand, the system minimizes the processing burden during actual dosage determination, as the processor can directly query and analyze pre-organized data rather than gathering and processing information in real-time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system extracts only the necessary historical meal data and nutritional information relevant to current dosage determination from the stored database. By selectively extracting only the needed data elements rather than processing all available data, the system reduces the data processing burden while maintaining dosage accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20260088150A1Infusion systems and methods for patient activity adjustments
Publication Date: 2026.03.26 MEDTRONIC MINIMED INC
  • US20260088150A1 patent drawing
  • US20260088150A1 patent drawing
  • US20260088150A1 patent drawing

AI summary

Techniques disclosed herein relate to operating a fluid delivery device in a personalized manner based at least in part on historical data of a patient. In some embodiments, the techniques involve obtaining historical meal data for the patient associated with historical meal events for the patient; determining a meal content based at least in part on the historical meal data; obtaining nutritional information associated with the meal content and historical meal events for the patient; determining, by a control system, a dosage of insulin based at least in part on the nutritional information and the historical meal events; and operating, by the control system, an actuation arrangement of the infusion device to deliver the dosage of the insulin to the patient.