Nasal High-Flow Breathing Control for Cheyne-Stokes Respiration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing high flow respiratory therapies fail to effectively stabilize carbon dioxide levels during Cheyne-Stokes Respiration (CSR), leading to unstable breathing patterns due to excessive loop gains and time delays in the respiratory control system.
Innovation Solution
A high flow respiratory assistance system that adjusts the delivery of respiratory gases by varying flow rates, rebreathing CO2, and using a non-sealing interface to capture and flush expired CO2, targeting specific phases of the CSR cycle to stabilize CO2 levels and promote normal respiration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high flow therapy is applied continuously to flush CO2 from the nasopharyngeal cavity, then CO2 levels are reduced, but breathing patterns become unstable due to excessive loop gains and time delays in CSR patients
Solution Approach 1:
The system applies high flow therapy periodically rather than continuously, synchronizing therapy delivery with the CSR cycle phases. The controller detects CSR patterns and delivers high flow therapy during specific phases (waxing or waning) to stabilize breathing without causing excessive loop gain effects
Solution Approach 2:
The system uses sensors to detect breathing patterns and CSR cycles, then the controller adjusts high flow therapy delivery based on this feedback. This closed-loop control allows the system to respond to changing breathing conditions and maintain stability by adjusting therapy timing and intensity
2Quantity of substance
If high flow therapy is increased to reduce ventilation overshoots, then CO2 control improves, but the complexity of controlling therapy timing and intensity increases
Solution Approach 1:
The system automatically detects CSR cycles and determines optimal therapy timing based on detected breathing patterns. The controller self-adjusts therapy delivery without requiring manual intervention, reducing operational complexity while maintaining precise CO2 control
Solution Approach 2:
The system replaces manual therapy adjustment with automated electronic control based on sensor detection. The controller uses algorithmic processing of breathing signals to determine therapy timing, substituting complex manual control decisions with automated computational logic
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
A high flow respiratory assistance system comprising: a flow source configured to provide a high flow of respiratory gases for administering high flow therapy; a non-sealing interface,, the non-sealing interface in fluid communication with the flow source and configured to provide the high flow of respiratory gases to clear CO2 from an anatomical dead space of a patient; a sensor configured to sense a characteristic of a breathing pattern; and a controller, wherein the controller: receives the sensed characteristic of the breathing pattern, and controls the flow of gases by varying a target flow rate to deliver nasal high flow based on the characteristic of the breathing pattern, the control of the flow of gases to the target flow rate configured to aid stabilization of respiration by increasing or decreasing the flow rate to change the amount of CO2 cleared from the anatomical dead space.