Smart Artificial Lung Feedback Control
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Solution Overview
Problem
Current artificial lung systems cannot automatically adjust CO2 removal and oxygenation to meet the changing metabolic needs of patients with severe lung diseases, leading to inadequate patient comfort and limited activity, as they rely on manual adjustments by healthcare staff and lack real-time response capabilities.
Innovation Solution
A smart controller system using negative feedback control loops and sensors to automate CO2 clearance and oxygen delivery based on exhaust gas CO2 and O2 measurements, integrating with artificial lung systems to adjust sweep gas flow and blood flow dynamically, enabling real-time optimization of perfusion parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments by healthcare staff are used, then the system structure remains simple, but the system cannot respond to changing patient needs in real-time
Solution Approach 1:
The patent implements a feedback control system that continuously monitors patient physiological parameters (CO2 levels, oxygenation) and automatically adjusts artificial lung parameters in real-time. Sensors detect changes in patient status, and the controller modifies sweep gas flow and blood flow rates accordingly, enabling the system to adapt to changing patient needs without manual intervention.
Solution Approach 2:
The control system performs self-adjustment by automatically modifying its own operating parameters based on sensor feedback. The system monitors its own performance through exhaust gas analysis and autonomously optimizes CO2 removal and oxygenation rates, reducing dependence on continuous manual adjustments by healthcare staff.
2Ease of operation
If fixed CO2 removal rate is used, then the control system is simple, but patient comfort and activity are limited
Solution Approach 1:
The patent transitions from fixed CO2 removal rates to dynamic adjustment capabilities. The system continuously varies sweep gas flow and blood flow rates based on real-time monitoring of patient physiological status, allowing CO2 clearance to adapt to changing metabolic demands during rest, activity, and rehabilitation exercises.
Solution Approach 2:
The control system dynamically changes operational parameters (sweep gas flow rate, blood flow rate) in response to detected physiological changes. By adjusting these parameters based on exhaust gas CO2 measurements and patient feedback, the system optimizes comfort and enables increased patient activity levels.
3Productivity
If automated control with sensors is implemented, then real-time optimization is achieved, but device complexity increases
Solution Approach 1:
The control system integrates multiple functions into a single unified controller that performs exhaust gas analysis, physiological parameter monitoring, and automated adjustment of multiple flow rates simultaneously. This multi-functional approach consolidates complexity rather than distributing it across separate systems.
Solution Approach 2:
The patent uses exhaust gas CO2 measurements as an intermediary parameter to indirectly monitor and control blood CO2 levels. By measuring CO2 in the sweep gas rather than directly in the blood, the system achieves real-time optimization with less invasive and simpler sensing.
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
The system improves patient comfort and safety by automatically adjusting CO2 and oxygen levels, reducing staff intervention, and enabling increased patient activity and rehabilitation, including exercise and daily activities, both in ICU and at home settings.
Implementation Method 1
a gas phase CO2 sensor downstream of the exhaust of the membrane lung system and monitoring an exhaust gas CO2 (EGCO2) level
Implementation Method 2
a membrane lung system having an gas inlet, a blood inlet, a blood outlet, and an exhaust
Implementation Method 3
a proportional-integral-derivative (PID) feedback controller receiving the CO2 signal and outputting an air pump control signal to the air pump responsive thereto
Data Source
AI summary
An artificial lung system for a patient having a membrane lung system having an gas inlet, a blood inlet, a blood outlet, and an exhaust; a gas system operably coupled to the gas inlet of the membrane lung system; a gas phase sensor disposed downstream of the exhaust of the membrane lung system and monitoring an exhaust gas levels; and a feedback controller receiving the blood CO2 or O2 signal and outputting a control signal to control gas flow and/or blood flow.