Blood Treatment Machine Dynamic Ultrafiltration Control
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Solution Overview
Problem
Current extracorporeal blood treatment technologies, such as dialysis, hemofiltration, and hemodiafiltration, face challenges in optimizing weight loss rate and ultrafiltration rate, which can lead to prolonged treatment times and inefficiencies, especially due to variations in patient blood composition and filter performance.
Innovation Solution
A control system that dynamically adjusts ultrafiltration rates and transmembrane pressure by monitoring and optimizing operating conditions, including ultrafiltration flow rates and hematocrit levels, to ensure optimal performance and adapt to changing patient and system conditions, thereby minimizing treatment time and maximizing fluid removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the ultrafiltration rate is increased to remove more fluid, then the weight loss rate improves, but the treatment time may be prolonged due to variations in patient blood composition and filter performance
Solution Approach 1:
The patent implements dynamic adjustment of ultrafiltration rates based on real-time monitoring of patient blood composition and filter performance. The system continuously adapts operating parameters to maintain optimal weight loss rates while minimizing treatment time, resolving the contradiction between productivity and time loss through dynamic control rather than static settings.
Solution Approach 2:
The patent employs feedback mechanisms where sensors monitor ultrafiltration flow rates, hematocrit levels, and other blood parameters during treatment. This feedback information is used to automatically adjust ultrafiltration rates and transmembrane pressure, ensuring optimal performance while reducing treatment time through continuous optimization based on actual patient condition changes.
2Productivity
If the ultrafiltration rate is dynamically adjusted to optimize weight loss, then treatment efficiency improves, but the device complexity increases due to additional monitoring and control systems
Solution Approach 1:
The patent implements self-service control where the system automatically monitors and adjusts ultrafiltration rates based on pre-programmed algorithms and real-time sensor data. The machine performs its own optimization without requiring complex external control systems or manual intervention, thereby improving treatment efficiency while limiting the increase in overall device complexity through autonomous operation.
Solution Approach 2:
The patent focuses on dynamically changing key operating parameters such as ultrafiltration rate and transmembrane pressure based on monitored blood composition and filter performance. By concentrating control on these critical parameters rather than implementing comprehensive control of all system variables, the system achieves improved treatment efficiency with manageable device complexity.
3Productivity
If the transmembrane pressure is increased to enhance fluid removal, then the ultrafiltration rate improves, but the risk of filter clotting increases
Solution Approach 1:
The patent dynamically adjusts transmembrane pressure based on real-time monitoring of blood composition, hematocrit levels, and filter performance. The system increases transmembrane pressure only when needed to maintain optimal ultrafiltration rate, while decreasing it when blood composition changes or clotting risk increases, thereby resolving the contradiction between productivity and reliability through adaptive control.
Solution Approach 2:
The patent employs feedback control where sensors continuously monitor blood parameters and filter conditions, providing real-time information to adjust transmembrane pressure. This feedback mechanism allows the system to increase ultrafiltration rate when safe, but automatically reduce pressure when clotting risk is detected, maintaining both high productivity and filter reliability through continuous optimization.
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 reduces treatment time, increases fluid removal efficiency, and prevents filter clotting by continuously monitoring and adjusting parameters, ensuring optimal performance and compatibility with varying patient conditions and dialysis machine operations.
Implementation Method 1
The solute exchange through the membrane is essentially achieved by diffusion due to the concentration gradient of the solutes
Implementation Method 2
The solutes to be eliminated are drawn by convection along with the liquid, the convection transport being a contemporary transport of a liquid part of the blood and a part of the substances contained therein through the membrane
Implementation Method 3
the liquid to be removed is taken from the blood by pressure-gradient ultrafiltration through a semipermeable membrane
Data Source
AI summary
A machine (1) for extracorporeal blood treatment comprises a device (2) for ultrafiltration of a liquid through a semi-permeable membrane (3) of a blood treatment device (4), a first sensor (11) for ultrafiltration rate through the membrane, a second group of sensors (13) for measuring a trans-membrane pressure, an infusion line (16) with an infusion pump (17) and a programmed controller (14) for calculating a maximum infusion rate as a function of the transmembrane pressure. The machine is suitable for kidney failure treatments, such as hemofiltration and hemodiafiltration. In a relatively short time the machine enables a large quantity of corporeal blood to be removed from the patient.