Wearable Insulin Patch System for Exercise Glycemic Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current insulin infusion devices are cumbersome and inconvenient for diabetic patients during exercise, leading to poor glycemic control due to their bulkiness and the need for long tubing, which restricts movement and limits remote insertion sites, and fail to accurately adjust insulin delivery based on exercise intensity and duration.
Innovation Solution
A system that tailors insulin delivery regimens by modifying basal rates based on exercise intensity, duration, starting blood glucose levels, and residual insulin, using a dispensing patch system with a remote control unit for data acquisition and user input, allowing for real-time adjustments to maintain glycemic control during and after exercise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional insulin infusion devices with long tubing are used, then insulin delivery function is provided, but device bulkiness and tubing restrictions limit patient movement and exercise freedom
Solution Approach 1:
The device is divided into separate functional modules: a compact insulin reservoir unit that can be worn close to the body, a separate control unit, and minimal necessary tubing. This segmentation allows each component to be optimized independently, reducing overall bulk while maintaining functionality.
Solution Approach 2:
The control electronics and user interface are extracted into a separate removable control unit, allowing the insulin delivery mechanism to remain compact and wearable. The control unit can be carried separately or removed when not in use, eliminating the need for bulky integrated housing.
2Reliability
If traditional insulin pumps are used during exercise, then insulin delivery is maintained, but the devices fail to accurately adjust insulin delivery based on exercise intensity and duration
Solution Approach 1:
The system dynamically adjusts insulin delivery parameters based on real-time exercise intensity and duration data. The control algorithm modifies basal and bolus insulin rates according to detected exercise conditions, enabling adaptive glycemic control that responds to changing physiological demands during physical activity.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor exercise parameters (intensity, duration, type) and use this information to adjust insulin delivery. The control unit receives exercise data and modifies insulin pump settings accordingly, creating a closed-loop system that adapts to exercise conditions while maintaining glycemic control.
3Reliability
If multiple daily injections or continuous subcutaneous insulin injection are used, then glycemic control can be maintained, but the burden of frequent administration and lack of flexibility in dose administration persists
Solution Approach 1:
The system provides automated insulin dose calculation and delivery based on programmed parameters such as carbohydrate-to-insulin ratios and insulin sensitivity factors. The pump automatically adjusts basal and bolus doses according to exercise conditions and glucose targets, reducing the need for manual calculations and frequent patient intervention while maintaining reliable glycemic control.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
Devices, apparatuses and methods for controlling blood-glucose levels during exercise are described. For example, an insulin infusion apparatus can include a control module to regulate a rate of therapeutic fluid release into a body of a patient based on a determined therapeutic fluid requirement profile, and a dispensing unit to release therapeutic fluid at the regulated rate. The methods and devices can be implemented by receiving a first value corresponding to a first glucose concentration before an exercise activity of a user; receiving a second value corresponding to a second glucose concentration after the exercise activity for the user; determining a glucose concentration change based on a difference between the second value and the first value; modifying a basal rate based on a comparison of the glucose concentration change with a predetermined threshold value; and, recording the modified basal rate in a computer-readable memory device.