Gas Therapy Flow Cycling for Aerosol Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High flow gas therapy systems face challenges in optimizing aerosol delivery during respiratory support, with low deposition efficiencies and the need to remove patients from support for aerosol administration.
Innovation Solution
A gas therapy system that integrates cycling of a nebulizer and gas flow inversely, switching to lower flow rates during aerosol delivery to enhance deposition while maintaining respiratory support, using a controller to manage flow rates and aerosol generation based on patient inhalation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high flow rates are used for respiratory support, then respiratory support is improved, but aerosol delivery efficiency deteriorates
Solution Approach 1:
The system implements periodic cycling between high flow rates (for respiratory support) and low flow rates (for aerosol delivery). The controller alternates between these flow regimes in defined cycles, allowing the patient to receive both adequate respiratory support and effective aerosol therapy without continuous compromise of either function.
Solution Approach 2:
The gas flow rate is made dynamic rather than static, automatically adjusting between high and low flow rates based on the therapeutic phase. The system transitions from a fixed high flow regime to a variable flow regime that adapts between support-oriented and delivery-oriented states, optimizing both respiratory support and aerosol deposition.
2Reliability
If high flow rates are used for respiratory support, then respiratory support is improved, but aerosol deposition deteriorates
Solution Approach 1:
The system implements periodic cycling between high flow rates (for respiratory support) and low flow rates (for aerosol delivery). The controller alternates between these flow regimes in defined cycles, allowing the patient to receive both adequate respiratory support and effective aerosol therapy without continuous compromise of either function.
Solution Approach 2:
The system changes the flow rate parameter dynamically between two distinct states: a high flow rate state for respiratory support and a low flow rate state for aerosol deposition. This parameter switching allows optimization of aerosol deposition efficiency during the low flow phase while maintaining respiratory support during the high flow phase.
3Productivity
If aerosol delivery is prioritized, then aerosol deposition is improved, but respiratory support deteriorates
Solution Approach 1:
The system implements periodic cycling between high flow rates (for respiratory support) and low flow rates (for aerosol delivery). The controller alternates between these flow regimes in defined cycles, allowing the patient to receive both adequate respiratory support and effective aerosol therapy without continuous compromise of either function.
Solution Approach 2:
The gas flow rate is made dynamic rather than static, automatically adjusting between high and low flow rates based on the therapeutic phase. The system transitions from a fixed high flow regime to a variable flow regime that adapts between support-oriented and delivery-oriented states, optimizing both respiratory support and aerosol deposition.
Data Source
Figure 1(a)
Figure 1(b)
Figure 2~3
AI summary
A gas therapy system (1) has a flow line (3, 2), a coupler (6) to a gas source, and an aerosol generator (4) for aerosol delivery, and a patient interface such as a nasal interface (2). A controller (10) is configured to modulate gas flow and aerosol delivery in real time. The controller changes gas flow rate and dynamically reduces aerosol delivery during upper gas flow rates such as 60 LPM, and activates aerosol delivery during lower gas flow rates of for example 10 LPM. The control may also include sensors to detect breathing, so that there is a bias towards increased aerosol delivery during inhalation in addition to during lower level gas flow.