Ventilator Output Device Asynchrony Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current ventilators often experience asynchrony with patient breathing, leading to potential health risks due to inadequate synchronization during ventilation processes, which existing technologies fail to clearly and effectively display or address.
Innovation Solution
An output device with a processing unit that receives real-time data sets on patient and ventilator breath start and end times, calculating deviations and providing a structured visualization to display start and end deviations, allowing for clear detection of asynchrony and enabling rapid identification of necessary adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ventilator valve control is used to ensure safety through pressure control, then patient safety is improved, but breathing asynchrony increases leading to negative health consequences
Solution Approach 1:
The system continuously monitors breathing parameters (flow, pressure, volume) and uses this feedback to detect asynchrony events in real-time. The feedback loop compares patient breathing effort with ventilator delivery, enabling dynamic adjustment and early intervention to reduce harmful asynchrony while maintaining safety protocols
2Measurement precision
If detailed asynchrony monitoring is implemented, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: sensor units for data acquisition, processing units for analyzing different parameters (flow, pressure, volume), and separate algorithms for detecting specific asynchrony types. This modular segmentation enables high detection precision through comprehensive analysis while managing complexity through organized, independent components
Solution Approach 2:
The system uses multi-functional processing that analyzes multiple breathing parameters (flow, pressure, volume) simultaneously with the same hardware platform. This universal approach achieves comprehensive asynchrony detection accuracy without proportionally increasing device complexity, as one system performs multiple measurement and analysis functions
3Productivity
If real-time structured visualization of breath deviations is provided, then intervention speed is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the most critical asynchrony information from comprehensive breathing data and presents it in simplified visual formats. By taking out and highlighting only essential deviation parameters in structured visualizations, the system enables rapid clinician intervention while reducing the effective information processing load on healthcare providers
Solution Approach 2:
The system uses color-coded visualizations to represent different asynchrony types and severity levels. This color-change encoding allows rapid visual processing of complex breathing deviation information, improving intervention speed while reducing the cognitive information processing burden through intuitive visual cues rather than raw data presentation
Data Source
AI summary
A ventilation process and output device (100) outputs measured values of a ventilator (200). A processing unit (120) receives a first data set (122) and a second data set (126). The first data set indicates start times (123), at which a current breath (121) begins, and indicates end times (124), at which the breath ends by a starting to exhale. The second data set indicates device-side start times (127), at which the ventilator begins a current inspiratory phase (125), and indicates device-side end times (128), at which the ventilator ends the current inspiratory phase. A start deviation (140) and an end deviation (142) between the inspiratory phase of the ventilator and the current breath are determined based on the corresponding start times and the corresponding end times. An output signal (112) is provided such that within a predefined output structure (150) the start deviations and the end deviations for a predefined plurality of preceding breaths are outputted as a structured visualization (155).