Ventilation Parameter Optimization via Cost Function
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Solution Overview
Problem
Current ventilation systems in intensive care face challenges in setting operating parameters, such as inspiration pressure and time, due to complex relationships between parameters, leading to unintended changes in limit values, making it difficult to maintain optimal settings without exceeding or dropping below preset limits, especially when patient lungs are damaged.
Innovation Solution
A method that involves presetting target value ranges for ventilation parameters, calculating permissible operating parameter values, and optimizing a cost function to minimize patient stress, with the system outputting optimized parameter settings for the user to ensure compliance with limit values and reduce invasiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user presets operating parameters manually based on simple rules of thumb, then the operation process is simple, but the ventilation effectiveness does not meet complex physiological requirements
Solution Approach 1:
The system automatically calculates and adjusts operating parameters based on patient data and physiological models, enabling the ventilation system to serve itself rather than relying on manual user input. The computer determines optimal parameters including inspiration time, expiration time, and pressure settings automatically.
Solution Approach 2:
The system dynamically adjusts multiple operating parameters (inspiration time, expiration time, inspiration pressure, PEEP) based on calculated physiological conditions. The computer modifies these parameters in real-time to optimize ventilation effectiveness while maintaining safety limits.
2Measurement precision
If the user changes one operating parameter, then that parameter can be optimized, but limit values for other operating parameters change unintentionally
Solution Approach 1:
The system continuously monitors and calculates the relationships between all operating parameters and their limit values. When a user adjusts one parameter, the computer automatically recalculates and adjusts other parameters and their corresponding limit values to maintain overall ventilation safety and effectiveness.
Solution Approach 2:
The system performs preliminary calculations of all parameter relationships and limit value changes before the user finalizes a setting. The computer presents the full impact of parameter changes on all other parameters and limit values in advance, allowing the user to make informed decisions.
3Measurement precision
If the system provides detailed calculations of parameter relationships, then the accuracy of ventilation settings improves, but the device complexity increases
Solution Approach 1:
The computer acts as an intermediary between the user and the complex physiological calculations. It handles all complex computations of parameter relationships, tidal volume, respiratory minute volume, and limit values automatically, presenting simplified results and recommendations to the user without exposing the underlying complexity.
Data Source
AI summary
A method selects the setting of a first operating parameter of a ventilation system that includes devices for feeding breathing air to and removing from a patient (7), a display device (13) with a screen (15) and a computer (11). The method includes presetting a first target value range for a first ventilation parameter, calculating permissible first operating parameter values by the computer (11) for the first operating parameter, so that the first ventilation parameter value is within the target value range if a permissible first operating parameter value is set; calculating values of a preset cost function, which is a function of at least one operating parameter, by the computer (11); selecting a first operating parameter value by the computer (11), at which the value of the cost function has an optimum; and outputting the selected first operating parameter value on the screen (15) of the display device (13).