Perfusion Pressure Estimation via Flow Rate Regression
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Solution Overview
Problem
Existing perfusion systems face challenges in accurately estimating internal pressure within organs like kidneys without using a pressure gauge, which can hinder calculus collection and increase manufacturing costs due to the difficulty in disposing pressure sensors in small diameters and the inaccuracy of detected pressures.
Innovation Solution
A method and system that estimate internal pressure by acquiring liquid feed and suction flow rates and using a regression formula based on pressure measurements during specific operational modes, allowing for pressure estimation without a pressure gauge, utilizing a perfusion system with pumps, flowmeters, and a processor to control liquid feed and suction processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a pressure sensor is disposed in the perfusion target to directly detect internal pressure, then measurement precision is improved, but device complexity and manufacturing cost increase due to the difficulty of disposing pressure sensors in small diameters
Solution Approach 1:
The patent uses flow rate data as an intermediary parameter to indirectly estimate internal pressure. Instead of directly measuring pressure with a sensor in the perfusion target, the system measures liquid feed flow rate and suction flow rate, then uses these flow rate measurements to calculate and estimate the internal pressure through mathematical relationships, thereby avoiding the need to dispose pressure sensors in difficult-to-reach small diameter spaces
Solution Approach 2:
The patent replaces the mechanical pressure sensing system with a flow rate measurement and calculation system. By substituting direct mechanical pressure detection with indirect flow-based estimation using processors and algorithms, the system achieves pressure measurement functionality without the physical constraints and complexities of miniaturized pressure sensors
2Measurement precision
If a pressure sensor is disposed in the perfusion target, then internal pressure can be detected, but manufacturing cost increases due to the difficulty and specialized requirements of pressure sensor disposal
Solution Approach 1:
The system uses flow rate measurements as intermediary data to indirectly determine internal pressure, eliminating the need for expensive pressure sensors in the perfusion target. The processor calculates pressure estimates based on readily available flow rate data from the liquid feed and suction systems, significantly reducing manufacturing costs while maintaining measurement capability
Solution Approach 2:
Instead of using expensive physical pressure sensors in the perfusion target, the system creates a virtual pressure measurement through computational modeling and calculation based on flow rate data. This virtual copy of pressure information achieves the same functional purpose at much lower cost
3Productivity
If liquid feed and suction are performed simultaneously to generate perfusion, then productivity is improved, but measurement precision of internal pressure deteriorates without a pressure gauge
Solution Approach 1:
The system implements feedback control by continuously monitoring liquid feed flow rate and suction flow rate, then using these measurements to dynamically estimate internal pressure. The processor adjusts perfusion parameters based on the calculated pressure feedback, maintaining measurement precision while enabling simultaneous liquid feed and suction operations for improved productivity
Solution Approach 2:
The patent replaces mechanical pressure gauges with a computational estimation system that calculates internal pressure based on flow rate measurements. This substitution enables accurate pressure monitoring during simultaneous feed and suction operations without the physical interference that would hinder calculus collection
4Measurement precision
If a pressure gauge is used to monitor internal pressure, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system makes the existing flow measurement components serve multiple functions. The flowmeters that measure liquid feed and suction flow rates are also used to estimate internal pressure, eliminating the need for separate pressure gauges. This multi-functional use of existing components maintains measurement precision while reducing device complexity
Solution Approach 2:
The system uses its own existing flow measurement capabilities to provide pressure monitoring functionality. By processing the flow rate data already being collected for perfusion control, the system generates pressure estimates without requiring additional external pressure measurement devices, achieving self-sufficient pressure monitoring
Data Source
AI summary
A perfusion target internal pressure estimation method includes, at a time of a first operation for feeding liquid and not suctioning the liquid, acquiring a liquid feed flow rate in a liquid feed passage and pressure in a suction passage, at a time of a second operation for feeding the liquid and suctioning the liquid, acquiring a liquid feed flow rate in the liquid feed passage and a suction flow rate in the suction passage, subtracting the suction flow rate from the liquid feed flow rate to acquire a flow rate difference, and acquiring, based on a regression formula of the liquid feed flow rate and the pressure in the suction passage at the time of the first operation, an estimation value of an internal pressure of a perfusion target at the time of the second operation from the flow rate difference.