Insulin Pump Pulse Delivery for Energy-Efficient Basal Dosing
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Solution Overview
Problem
Existing insulin pumps face challenges in achieving precise and energy-efficient insulin delivery due to variations in reservoir friction, occlusion detection, and complex sensor requirements, leading to inefficiency and increased cost.
Innovation Solution
Implementing pulsatile motor operations with step-by-step position control, using motor position sensors for plunger detection and occlusion detection, and adaptive calibration techniques to compensate for friction and occlusion, without additional strain sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If continuous motor operation is used for insulin delivery, then delivery rate can be maintained, but energy consumption increases
Solution Approach 1:
The motor operates in pulsatile mode with periodic on/off cycles instead of continuous operation. The controller activates the motor for specific pulse durations at defined intervals, allowing the insulin pump to deliver insulin in controlled bursts while conserving energy during off periods, thus resolving the contradiction between energy consumption and maintaining delivery rate.
2Measurement precision
If additional strain sensors are added for occlusion detection, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The motor position sensor serves dual purposes: it controls motor positioning and simultaneously detects occlusion conditions by monitoring motor current and position data. The system uses existing sensor data to identify occlusion events without requiring additional strain sensors, thereby improving detection accuracy while avoiding increased device complexity.
3Manufacturing precision
If friction compensation mechanisms are added, then delivery precision improves, but mechanical complexity increases
Solution Approach 1:
Instead of adding mechanical friction compensation mechanisms, the system uses software-based algorithms that process motor current and position data to calculate and compensate for friction effects. This computational approach achieves improved delivery precision without increasing mechanical complexity, as the compensation is performed through software processing of existing sensor data.
Data Source
AI summary
A processor-implemented method comprises determining a requested delivery rate of a request for fluid delivery using a fluid delivery device; determining a corresponding number of delivery events per hour for the request based on a range that the requested delivery rate falls in; determining, based on the requested delivery rate and the number of delivery events, a delivery volume of each delivery event of the number of delivery events and an event interval between adjacent deliver events of the number of delivery events; and causing performance of the number of delivery events according to the delivery volume and the event interval.


