Emergency Ventilator Auto-Setting From Patient Body Weight
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Solution Overview
Problem
Emergency ventilators are often unavailable and require trained personnel, leading to potential errors in ventilation due to lack of monitoring and expertise among first responders.
Innovation Solution
A patient module that automatically selects ventilation parameters based on estimated patient biometric features, such as body weight, allowing initial ventilation by minimally trained staff, with integrated sensors for monitoring and adaptive adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a breathing bag is used for emergency ventilation, then the device is inexpensive and ready to operate immediately, but ventilation parameters cannot be monitored and require great experience to operate correctly
Solution Approach 1:
The ventilator device automatically determines ventilation parameters by processing biometric data (body weight, height, age) without requiring manual parameter setting by the operator. The system self-configures tidal volume, respiratory rate, and pressure limits based on the patient's characteristics, eliminating the need for operator expertise in parameter selection.
Solution Approach 2:
The patent replaces manual mechanical adjustment of ventilation parameters with an automated electronic control system that calculates and adjusts parameters based on biometric data. This substitution of manual operation with automated computation ensures consistent, accurate ventilation settings without requiring operator experience.
2Reliability
If a professional ventilator is used, then adequate ventilation with monitoring is provided, but the device is expensive and requires trained personnel to operate
Solution Approach 1:
The ventilator automatically configures itself by processing biometric data (body weight, height, age) to determine appropriate ventilation parameters. This self-service capability eliminates the need for trained operators to manually set complex parameters, making the device as easy to operate as a simple breathing bag while maintaining professional ventilation standards.
Solution Approach 2:
The system performs preliminary determination of ventilation parameters based on biometric data before ventilation begins. By pre-calculating tidal volume, respiratory rate, and pressure limits from the patient's body characteristics, the system prepares optimal settings in advance, eliminating the need for operator expertise during the critical emergency response phase.
3Adaptability or versatility
If manual ventilation parameter setting is required, then ventilation can be adapted to patient needs, but errors may be made in stress situations by first responders
Solution Approach 1:
The ventilator automatically determines and adjusts ventilation parameters by processing biometric data without requiring manual input or adjustment by the operator. This self-service approach eliminates human error in parameter setting while maintaining adaptability to each patient's specific needs based on their body weight, height, and age.
Solution Approach 2:
The system continuously monitors ventilation effectiveness and automatically adjusts parameters based on patient response and biometric data. This closed-loop feedback ensures optimal ventilation delivery while eliminating the need for operator judgment and manual adjustments during stress situations.
Data Source
AI summary
A process for ventilating a patient as well as a device—patient module (20)—operating according to the process, wherein, for example, a body weight value concerning an estimated body weight of the patient is transmitted to a patient module (20) intended for ventilating the patient, wherein the patient module (20) automatically selects ventilation parameters (52) fitting the body weight value on the basis of the body weight value and wherein the ventilation of the patient is carried out with the selected ventilation parameters (52).