Automated Breathing Pressure Adjustment via Electrical Impedance Tomography
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Solution Overview
Problem
Current mechanical ventilation systems face challenges in automatically adjusting pressures such as positive end-expiratory pressure (PEEP) and maximum airway pressure to prevent alveoli collapse and overstretching, which can lead to impaired lung function and oxygen saturation issues, requiring manual intervention and relying on empirical guidelines that may not reflect a patient's current condition.
Innovation Solution
An automated system using electrical impedance tomography (EIT) to detect impedance distribution across the thorax, dividing it into pixels, and comparing impedance values at the end of inspiration and expiration phases to adjust ventilation pressures, allowing for real-time, patient-specific adjustments with minimal human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PEEP is increased to prevent alveolar collapse, then oxygen saturation is improved, but lung tissue overstretching and cardiovascular function are impaired
Solution Approach 1:
The system dynamically adjusts PEEP levels in real-time based on continuous monitoring of lung compliance and impedance, transitioning from static pre-set values to adaptive control that responds to changing patient conditions, thereby optimizing oxygenation while preventing overstretching
Solution Approach 2:
The system implements closed-loop feedback by continuously measuring lung impedance and compliance, comparing these measurements against target ranges, and automatically adjusting PEEP levels to maintain optimal lung mechanics and prevent both collapse and overstretching
2Reliability
If PEEP is increased to prevent alveolar collapse, then oxygen saturation is improved, but venous blood return to the heart is impeded
Solution Approach 1:
The system monitors cardiovascular parameters alongside lung mechanics and adjusts PEEP levels based on integrated feedback, reducing PEEP when signs of cardiovascular compromise are detected while maintaining adequate oxygenation through coordinated parameter adjustments
3Ease of manufacture
If manual adjustment of ventilation pressures is performed based on empirical guidelines, then standardization is achieved, but patient-specific real-time conditions are not reflected
Solution Approach 1:
The system performs self-adjustment of ventilation parameters by automatically analyzing patient-specific lung mechanics data and modifying PEEP and other settings without requiring manual intervention, thereby adapting to each patient's unique condition in real-time
Solution Approach 2:
The system replaces manual clinical judgment and empirical guideline application with automated electronic control based on real-time physiological measurements, transitioning from human-operated to machine-operated parameter adjustment
4Loss of information
If known methods for deriving information about closed or overinflated alveoli are used, then diagnostic information is obtained, but regular ventilation is interrupted and time is lost
Solution Approach 1:
The system provides continuous monitoring of lung mechanics and alveolar condition through real-time impedance measurements during ongoing ventilation, eliminating the need for interruptive diagnostic maneuvers and maintaining uninterrupted gas exchange
Solution Approach 2:
The system replaces interruptive mechanical diagnostic methods with continuous electrical impedance tomography and real-time computational analysis, allowing ongoing assessment of alveolar status without disrupting ventilation
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
Enables precise and automatic adjustment of ventilation pressures, reducing the risk of alveoli collapse and overstretching, thereby improving oxygen saturation and lung function without the need for frequent manual adjustments.
Implementation Method 1
An automated system using electrical impedance tomography (EIT) to detect impedance distribution across the thorax
Data Source
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Figure 2c~2d
AI summary
The invention relates to a system for automated adjustment of a pressure specified by a breathing device (100), in particular a positive, endexpiratory pressure (PEEP) and/or a maximum airway pressure (Paw_max), comprising: an assembly for electrical impedance tomography (20) for recording an electrical impedance distribution along at least one two-dimensional section through the human thorax, at least at the end of an inspiration phase and at the end of an allocated expiration phase; a device for sub-dividing the recorded electrical impedance distribution at the end of the inspiration phase and at the end of the expiration phase into a plurality of EIT pixels (xy) and for determining a value of the electrical impedance, allocated to an EIT pixel (xy), at the end of the inspiration phase (EIT ei xy) and at the end of the expiration phase (EIT_ee_xy); and a device for automated adjustment of the pressure specified by the breathing device (100).