Atelectasis Detection System for Flight Crew
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Solution Overview
Problem
Pilots and crew members in flight may experience atelectasis due to low cabin pressure and excessive G-forces, leading to impaired oxygen intake and carbon dioxide evacuation.
Innovation Solution
A system comprising exhalation, inhalation, and environmental sensors, along with a computing device, to detect and analyze parameters such as expirate volume, inspirate oxygen concentration, and cabin pressure, determining the likelihood of atelectasis and generating a dosing schedule to prevent it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (exhalation, inhalation, environmental) are deployed to detect atelectasis parameters, then the measurement precision and reliability of atelectasis detection is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (exhalation sensor, inhalation sensor, environmental sensor) into a single integrated monitoring system that detects atelectasis parameters simultaneously. The sensors work together as a coordinated unit, with data from all sensors processed by a single computing device, reducing the overall system complexity compared to separate independent monitoring systems.
Solution Approach 2:
The monitoring system is designed with multi-functionality, where the same sensor array and computing device can detect various physiological parameters (exhalation volume, inhalation oxygen concentration, environmental cabin pressure) and generate both diagnostic likelihood assessments and dosing schedules. This universal approach eliminates the need for separate specialized systems for each function.
2Reliability
If continuous monitoring of exhalation and inhalation parameters is performed to detect atelectasis likelihood, then the reliability of atelectasis detection is improved, but the energy consumption increases
Solution Approach 1:
The system employs periodic sampling of respiratory parameters rather than continuous uninterrupted monitoring. The exhalation and inhalation sensors take measurements at discrete intervals during breathing cycles, and the computing device processes this periodic data to assess atelectasis likelihood. This periodic approach maintains detection reliability while significantly reducing energy consumption compared to continuous real-time processing.
Solution Approach 2:
The system utilizes the natural respiratory cycles of the flight crew member as the monitoring rhythm, where the body's own breathing pattern provides the timing signal for measurements. This self-synchronized periodic monitoring eliminates the need for external power-intensive continuous scanning, as the system simply detects parameters at naturally occurring respiratory intervals.
3Reliability
If a dosing schedule is generated based on atelectasis likelihood to prevent atelectasis, then the effectiveness of oxygen intake and carbon dioxide evacuation is improved, but the device complexity increases
Solution Approach 1:
The system implements a feedback loop where the computing device continuously monitors exhalation and inhalation parameters, assesses atelectasis likelihood, and generates dosing schedules based on this assessment. The dosing schedule then guides respiratory interventions, which in turn affect subsequent sensor readings, creating a closed-loop feedback system that improves oxygen intake effectiveness while using algorithmic processing to manage complexity.
Solution Approach 2:
The system dynamically adjusts monitoring and intervention parameters based on detected atelectasis likelihood. When atelectasis is detected, the system changes operational parameters by generating specific dosing schedules that modify respiratory support parameters. This parameter-based approach allows the system to adapt to changing physiological conditions without requiring complex reconfiguration of the entire system architecture.
Data Source
AI summary
Aspects relate to methods and systems for detection of atelectasis in flight. An exemplary system includes at least an exhalation sensor configured to detect at least an exhalation parameter of a flight crew member, at least an inhalation sensor configured to detect at least an inhalation parameter of the flight crew member, at least an environmental sensor configured to detect at least an environmental parameter of a cabin within which the flight crew member is housed, and a computing device configured to determine a likelihood of atelectasis for the flight crew member as a function of the at least an exhalation parameter, the at least an inhalation parameter, and the at least an environmental parameter and generate a dosing schedule as a function of the likelihood of atelectasis.