Medication Delivery System Stress Adaptation
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Solution Overview
Problem
Current medication delivery systems for conditions like diabetes lack the ability to automatically adjust insulin delivery based on real-time body movements and physiological responses, potentially leading to inadequate glucose control.
Innovation Solution
A system that integrates a gesture-based physical behavior detection system to monitor body movements, correlate them with physiological responses, and adjust insulin delivery using a movement-correlated therapy control algorithm, allowing for automatic and precise management of blood glucose levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a medication delivery system operates in a standard automated mode based on therapy control algorithms, then it can deliver medication automatically, but it cannot adjust delivery based on real-time body movements and physiological responses
Solution Approach 1:
The patent combines a gesture-based physical behavior detection system with the medication delivery system, merging motion detection capabilities with insulin delivery control. The detection system monitors body movements and the controller integrates this information with therapy control algorithms to automatically adjust insulin delivery, resolving the contradiction between adaptability and device complexity by integrating functions rather than adding separate systems
Solution Approach 2:
The controller is designed to perform multiple functions: it manages the standard therapy control algorithm for automated insulin delivery and simultaneously processes body movement detection data to adjust delivery parameters. This multi-functionality allows the system to adapt to different conditions (standard operation and movement-based adjustment) without requiring separate dedicated systems, thereby improving adaptability while managing complexity
2Measurement precision
If the system integrates gesture-based physical behavior detection to monitor body movements, then it can detect physiological responses, but it increases system complexity and data processing requirements
Solution Approach 1:
The patent uses a movement correlation database as an intermediary between the gesture-based detection system and the therapy control algorithm. The database stores pre-established correlations between body movements and physiological responses, allowing the controller to quickly lookup and apply appropriate adjustments without performing complex real-time analysis of movement patterns, thus improving measurement precision while managing data processing complexity
Solution Approach 2:
The system performs preliminary action by pre-establishing movement correlations in the database before actual use. This allows the controller to simply retrieve pre-analyzed relationships between movements and physiological responses during operation, rather than performing complex analysis in real-time, thereby improving detection precision without proportionally increasing processing complexity during critical moments
3Reliability
If the system uses a movement-correlated therapy control algorithm to adjust insulin delivery, then it improves glucose control, but it requires continuous monitoring and adjustment increasing operational complexity
Solution Approach 1:
The system implements self-service by automatically detecting body movements, correlating them with physiological responses, and adjusting insulin delivery without requiring user intervention. The controller continuously monitors movement data and autonomously modifies therapy parameters based on the movement-correlated algorithm, improving glucose control reliability while maintaining operational simplicity as the system serves itself rather than requiring continuous user input or manual adjustment
Data Source
AI summary
A method of operating a system having a fluid pump mechanism and a related controller involves: operating the system in a first mode to automatically deliver the medication in accordance with a therapy control algorithm; and receiving stress-identifying data generated at least in part from gesture data for the user. The gesture data is provided by a gesture-based physical behavior detection system. The method determines, from the stress-identifying data, that the user is under stress while the medication delivery system is operating in the first mode. In response to detecting stress, the system is operated in a second mode to automatically deliver the medication to the user in accordance with a stress-correlated therapy control algorithm. The second mode compensates for user stress as determined from the stress-identifying data.