Blood Pump Control System Optimizing Flow via Speed Interventions
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Solution Overview
Problem
Existing blood pump control systems struggle to automatically and reliably maintain sufficient blood flow, especially during long-term extracorporeal circulation, as they fail to detect and prevent venous return flow collapse and arterial flow disruptions, posing life-threatening risks.
Innovation Solution
A method that uses periodic pump speed interventions and differential flow speed ratio (DFSR) calculations to detect and correct venous and arterial flow issues, allowing for rapid stabilization and optimization of blood flow, even in non-pulsatile conditions like cardiac arrest, by adjusting pump speed and measuring flow changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and correction of blood flow parameters is performed, then blood flow can be optimized, but it becomes impossible to maintain reliable blood flow during long-term extracorporeal circulation without staff-intensive monitoring
Solution Approach 1:
The control system continuously monitors blood flow parameters (flow rate, pressure gradients, pump speed) and automatically adjusts pump operations based on detected deviations. The system provides feedback loops that detect collapse tendencies and trigger corrective actions without manual intervention, enabling reliable long-term operation.
Solution Approach 2:
The blood pump system performs self-monitoring and self-correction of operational parameters. The control algorithm automatically identifies flow disruptions, determines appropriate corrective measures, and executes them independently, reducing the need for continuous staff monitoring while maintaining blood flow reliability.
2Productivity
If pump speed is continuously increased to maintain sufficient blood flow, then blood flow is optimized, but venous vessels and atrium may collapse due to excessive drainage
Solution Approach 1:
The pump speed is dynamically adjusted based on real-time monitoring of blood flow parameters and vessel status. The system continuously adapts the pump operation to match actual hemodynamic conditions, increasing speed when needed to maintain flow while decreasing it to prevent vessel collapse, rather than operating at a fixed high speed.
Solution Approach 2:
The control system monitors blood flow rate, pressure gradients, and pump performance parameters to detect signs of vessel collapse or excessive drainage. When deviations are detected, the system automatically reduces pump speed or adjusts operation to prevent harmful effects while maintaining adequate blood flow.
3Object-affected harmful factors
If pump speed is reduced to prevent vessel collapse, then vessel damage is avoided, but sufficient blood flow cannot be maintained
Solution Approach 1:
The pump operates with dynamically adjusted speed based on continuous monitoring of hemodynamic parameters. The system identifies the optimal operating point that maintains sufficient blood flow while preventing vessel collapse, adjusting speed up or down as conditions change rather than maintaining a fixed speed.
Solution Approach 2:
The control system continuously monitors blood flow parameters and vessel status to detect the optimal operating range. When flow is sufficient and vessels are stable, the system maintains appropriate speed; when signs of collapse appear, it reduces speed; when flow becomes insufficient, it increases speed, creating a self-regulating system.
4Stability of the object's composition
If periodic pump speed interventions are implemented to optimize blood flow, then flow stability is improved, but the system complexity increases
Solution Approach 1:
The control system uses feedback from monitored blood flow parameters to automatically trigger periodic speed interventions. The algorithm analyzes flow stability and pump performance, identifying optimal moments for speed adjustment to enhance stability without requiring complex manual control protocols.
Solution Approach 2:
The system performs self-optimization by automatically detecting flow conditions and executing appropriate speed interventions based on pre-programmed control algorithms. This self-service capability reduces the need for complex external control mechanisms while maintaining blood flow stability.
Data Source
AI summary
In a device for the automatic control of blood pumps, an optimization of the blood flow is achieved by periodic speed interventions and flow changes thereby occurring, using a formed differential variable and a control algorithm. In addition, the location of possible flow resistances on the venous or arterial side can be ascertained.