Artificial Pancreas Motion Sensor Integration for Closed-Loop Control
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Solution Overview
Problem
Current insulin pumps and diabetes treatment systems are limited in adapting to varying patient conditions, such as sleep or physical exercise, due to the need for accurate glucose monitoring and activity level sensing, which affects the effectiveness of closed-loop algorithms for insulin delivery.
Innovation Solution
Incorporating motion sensors, such as accelerometers and gyroscopes, to sense patient activity levels and adjust algorithms for automatic operation modes, including insulin delivery and alert management, to enhance the closed-loop control of an artificial pancreas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors are incorporated to sense patient activity levels and adjust algorithms, then the accuracy and reliability of blood glucose management is improved, but the device complexity increases
Solution Approach 1:
The patent combines motion sensors (accelerometers, gyroscopes) with the existing continuous glucose monitoring system and insulin pump control algorithms. The motion sensors are integrated into the same device housing as the glucose sensor and processor, creating a unified system that simultaneously monitors glucose levels and physical activity to adjust insulin delivery decisions.
Solution Approach 2:
The motion sensors serve multiple functions within the system: detecting sleep states, identifying exercise activities, calculating activity intensity levels, and triggering appropriate algorithm adjustments. This multi-functional approach allows a single sensor component to address various physiological states that affect glucose metabolism, reducing the need for separate specialized sensors for each function.
2Adaptability or versatility
If algorithms are adjusted based on activity level signals, then the adaptability to different patient conditions is improved, but the processing requirements and system complexity increase
Solution Approach 1:
The system dynamically adjusts algorithm parameters based on real-time motion sensor data. When the accelerometer detects specific movement patterns indicating exercise, the system automatically modifies the closed-loop control algorithm's insulin delivery calculations. During sleep detection (minimal motion), the system switches to different algorithm parameters that account for reduced metabolic demand, creating a dynamic adaptation to physiological states without requiring manual intervention.
Solution Approach 2:
The motion sensors provide continuous feedback about patient activity levels to the control processor. This feedback loop allows the system to monitor physical state changes and automatically adjust insulin delivery decisions accordingly. The processed motion data feeds into the existing glucose control algorithm, creating a layered feedback mechanism where motion information modifies the primary glucose-based control decisions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for more accurate and reliable blood glucose management by distinguishing between sleep and exercise states, reducing unnecessary disturbances and improving the overall effectiveness of the artificial pancreas in delivering insulin and managing alerts.
Implementation Method 1
the motion sensor comprises one or more from an accelerometer, a gyroscope and an attitude sensor
Data Source
AI summary
The present invention provides a closed loop control method in an artificial pancreas and a system using the method, comprising sensing an activity level of a patient by at least one motion sensor and providing signals to at least one processer; then adjusting a series of related algorithms depending partly on the signals by the processer to provide more accurate and reliable data that is the basis of desirable treatment plans, and sending corresponding instructions by the processer for automatic operations of the artificial pancreas to realize a closed loop control.