Ventilator Airway Anomaly Detection for Water and Sputum Blockage
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Solution Overview
Problem
Ventilators face issues such as water accumulation, sputum blockage, and increased circuit resistance due to humidifiers and bacterial filters, leading to ventilation failures and reduced therapeutic effectiveness.
Innovation Solution
An airway anomaly recognition method that utilizes ventilation parameters like airway pressure and flow to detect anomalies through spectral analysis, curve fitting, and resistance calculations, outputting prompts for timely intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a humidifier is used in the respiration circuit, then patient comfort and respiratory function are improved, but water vapor condensation and accumulation occur in the pipeline, hindering ventilation
Solution Approach 1:
The system continuously monitors ventilation parameters (pressure, flow, resistance) and compares them against baseline values to detect changes indicating water accumulation. When anomalies are detected, the system generates alerts to notify operators, enabling timely intervention to maintain ventilation function while using humidifiers.
Solution Approach 2:
The system performs preliminary detection of water accumulation through continuous monitoring of ventilation parameters before complete blockage occurs. By detecting changes in pressure, flow, or resistance patterns, the system can alert operators to drain water from the circuit proactively, preventing ventilation failure.
2Reliability
If bacterial filters are installed at gas supply end and expiration end, then infection prevention is improved, but filter resistance increases after long-term use, hindering ventilation
Solution Approach 1:
The system monitors ventilation parameters including pressure and flow to detect increases in circuit resistance caused by filter accumulation. By continuously comparing current parameters against baseline values, the system can detect when filters require replacement, maintaining infection prevention while managing resistance buildup.
Solution Approach 2:
The system automatically detects and reports filter status based on monitored parameter changes, reducing the need for manual inspection. The self-monitoring capability allows the system to track filter performance and alert operators when replacement is needed, maintaining continuous protection.
3Productivity
If mechanical ventilation is performed, then pulmonary ventilation and respiratory function are improved, but airway anomaly events occur due to water accumulation and sputum blockage, reducing therapeutic effect
Solution Approach 1:
The system continuously monitors ventilation parameters (pressure, flow, resistance) during mechanical ventilation and compares them against baseline values to detect anomalies. When changes indicate water accumulation, sputum blockage, or other airway anomalies, the system generates alerts to notify operators, enabling timely intervention to maintain ventilation efficiency and reliability.
Solution Approach 2:
The system performs preliminary detection of airway anomalies through continuous parameter monitoring before complete ventilation failure occurs. By detecting changes in pressure, flow, or resistance patterns, the system can alert operators to address issues proactively, preventing therapeutic effectiveness from deteriorating.
Data Source
AI summary
The disclosure provides an airway anomaly detection method and a ventilation device thereof. The method may include acquiring a ventilation parameter, where the ventilation parameter includes at least one of an airway pressure and airway flow; detecting, according to a change of the ventilation parameter, whether an airway anomaly event occurs; and when it is determined that the airway anomaly event occurs, outputting an airway anomaly event prompt.