Blood Pump Control via Motor Speed Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mechanical circulatory support devices, particularly percutaneous ventricular assist devices (PVADs), face challenges in efficiently managing blood flow and pressure, leading to suboptimal operation and patient outcomes.
Innovation Solution
The proposed solution involves a circulatory support system that includes a blood pump with a motor and sensors to monitor speed, a controller that adjusts the motor command signal based on sensed values, and algorithms to determine blood flow parameters like flow rate, left ventricular pressure, and pressure drop across the pump.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional PVADs are used without advanced control algorithms, then the device structure remains simple, but blood flow management efficiency is suboptimal
Solution Approach 1:
The controller receives feedback from sensors monitoring motor speed and operational parameters, using this information to dynamically adjust command signals and optimize blood flow management in real-time
Solution Approach 2:
The control system autonomously determines blood flow parameters and adjusts motor operation without requiring external intervention, enabling the device to self-optimize its performance based on sensed conditions
2Productivity
If motor speed is increased to improve blood flow rate, then circulation efficiency improves, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts motor speed based on real-time feedback from sensors and calculated blood flow parameters, optimizing the balance between circulation efficiency and energy consumption rather than operating at fixed high speed
Solution Approach 2:
The controller modifies motor operational parameters including speed and torque based on calculated blood flow requirements, enabling energy-efficient operation across varying flow conditions
3Reliability
If precise control algorithms are implemented to determine blood flow parameters, then operational reliability improves, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical flow measurement mechanisms with electronic sensors and computational algorithms that calculate blood flow parameters from motor operational data, achieving precise measurement without mechanical complexity
Data Source
AI summary
A circulatory support system may include a blood pump, one or more sensors, and a controller in communication with the one or more sensors. The blood pump may include a driven component and a motor in communication with the driven component to drive the driven component to pump a blood flow through the blood pump. A sensor of the one or more sensors may be configured to sense a value related to a speed of the motor. The controller may be configured to provide a command signal to the motor to drive the driven component and determine one or more values related to the blood flow pumped through the blood pump based on the value related to the speed of the motor and the command signal.