Exhaled Breath NO Analysis for Pediatric Asthma
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Solution Overview
Problem
Current methods for measuring exhaled breath nitric oxide (NO) in non-cognizant and younger pediatric patients are unreliable and inaccurate due to difficulties in maintaining the required expiratory flow rate, leading to invalid samples and frustration in clinical practice.
Innovation Solution
The use of non-obtrusive patient interfaces such as nasal cannulas or masks coupled with vacuum sources to collect exhaled gas samples, along with breathing pattern sensors and metronomes to guide patients to breathe naturally, and algorithms to separate and analyze valid breath samples from the bronchopulmonary tree, ensuring accurate NO measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard guidelines requiring specific expiratory flow rate are followed, then measurement precision is improved, but ease of operation deteriorates for non-cognizant and younger pediatric patients
Solution Approach 1:
The system automatically identifies valid breaths and segments exhaled gas without requiring patient cooperation or manual intervention. The automated breath validation and gas segmentation algorithms enable the system to self-regulate the sampling process, collecting accurate NO measurements from patients who cannot follow instructions.
Solution Approach 2:
The system monitors multiple breath parameters (flow rate, volume, duration) and dynamically adjusts sampling based on identified valid breaths. By changing from fixed flow rate requirements to dynamic parameter-based validation, the system accommodates varying patient capabilities while maintaining measurement accuracy.
2Measurement precision
If flow rate monitoring and real-time instruction systems are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The breathing pattern sensor serves multiple functions: it monitors breath flow rate, identifies valid breaths, triggers sampling, and segments exhaled gas. This multi-functional approach reduces overall system complexity by consolidating multiple specialized components into a single versatile sensor system.
Solution Approach 2:
The system uses real-time feedback from the breathing pattern sensor to dynamically control sampling. The sensor data feeds into algorithms that validate breaths and trigger sampling at optimal moments, creating a closed-loop system that automatically adjusts to patient breathing patterns without requiring complex manual control.
3Measurement precision
If automated breath validation and gas segmentation algorithms are used, then measurement precision is improved, but loss of time in processing increases
Solution Approach 1:
The system performs preliminary breath validation and segmentation during the actual breath collection process rather than after. By identifying valid breaths and segmenting gas in real-time as the patient exhales, the system eliminates post-processing delays and achieves accurate measurements without significant time loss.
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 reliable and accurate collection and analysis of exhaled NO, overcoming previous limitations and making breath NO assessments feasible in non-cognizant and younger pediatric populations, improving diagnostic accuracy for conditions like asthma.
Implementation Method 1
vacuum sources to collect exhaled gas samples
Implementation Method 2
breathing pattern sensors and metronomes to guide patients to breathe naturally
Implementation Method 3
algorithms to separate and analyze valid breath samples from the bronchopulmonary tree, ensuring accurate NO measurements
Data Source
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AI summary
Methods and systems are described to automatically obtain and analyze a lung airway gas sample from the breath of a person for compositional analysis. These techniques may provide an improved method for example for accurately and reliably measuring nitric oxide for asthma assessment in young children and non-cognizant patients.