Ventilation Parameter Adjustment via EIT Perfusion Matching
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Solution Overview
Problem
Current ventilation processes for patients rely heavily on manual adjustments of ventilation parameters by healthcare staff, which can be time-consuming and inefficient, and lack automated optimization using electrical impedance tomography (EIT) data for improving ventilation distribution and perfusion distribution in the lungs.
Innovation Solution
A process and device that utilize EIT data to systematically vary ventilation parameters, collect data, determine ventilation and perfusion distributions, compare their similarity, and output optimal parameter values for automated adjustment of ventilation settings, allowing for continuous optimization without requiring extensive professional intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment of ventilation parameters is used, then professional expertise can be applied, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system enables self-service by automatically adjusting ventilation parameters based on EIT data analysis. The ventilator autonomously optimizes ventilation distribution and perfusion matching without requiring continuous manual intervention from healthcare staff, thereby improving efficiency and reducing time loss.
Solution Approach 2:
The system implements feedback control by continuously monitoring EIT data to assess ventilation distribution and perfusion matching, then automatically adjusting ventilation parameters based on this feedback. This closed-loop control enables real-time optimization while reducing the time and effort required for manual parameter adjustment.
2Productivity
If automated optimization using EIT data is implemented, then adjustment efficiency improves, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating EIT data acquisition, image reconstruction, ventilation distribution analysis, perfusion matching assessment, and automatic parameter adjustment into a single unified platform. This consolidation improves productivity while managing complexity through integrated design rather than separate independent systems.
Solution Approach 2:
The system merges the EIT imaging system with the ventilator control system, allowing both functions to operate and communicate within a single integrated framework. This combination enables automated optimization while reducing the complexity that would arise from coordinating multiple separate systems.
3Measurement precision
If iterative manual observation is used to determine optimal parameters, then professional judgment is applied, but the process lacks systematic optimization
Solution Approach 1:
The system employs feedback control by continuously monitoring EIT data to assess ventilation distribution and perfusion matching, then automatically adjusting ventilation parameters based on this feedback. This closed-loop control enables real-time optimization while reducing the time and effort required for manual parameter adjustment.
Solution Approach 2:
The system systematically changes ventilation parameters based on quantitative analysis of EIT data, transitioning from manual trial-and-error to automated parameter optimization. The system adjusts parameters such as PEEP, tidal volume, and inspiratory flow rate based on measured ventilation distribution and perfusion matching metrics.
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 enables efficient, automated, and cost-effective adjustment of ventilation parameters, improving gas exchange and lung function by optimizing ventilation distribution and perfusion, thus enhancing patient care through real-time monitoring and reduced reliance on manual settings.
Implementation Method 1
electrical impedance tomography data (EIT data) of the lungs of the patient are, furthermore, collected by an EIT device
Data Source
AI summary
A process adjusts a ventilation parameter (40) for a ventilation process (90) of a patient (110), which is carried out by a ventilator (20). Electrical impedance tomographic (EIT) data (70) of the lungs (111) of the patient (110), concerning the ventilation process (90), are collected by an EIT device (30). An adjusting device (1), adjusting a ventilation parameter (40) for the ventilation process (90), has an analysis unit (2) with a memory (3), a data input unit (5) data-communicatingly connected to the analysis unit (2) for receiving data and a data output unit (7) data-communicatingly connected to the analysis unit (2) for outputting data. A medical system (100), includes a ventilator (20), an EIT device (30) as well as the adjusting device (1) for adjusting a ventilation parameter (40) for the ventilation process (90) of a patient (100).