Dynamic Pressure Support for Cheyne-Stokes Respiration
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Solution Overview
Problem
Conventional methods for treating Cheyne-Stokes respiration (CSR) in congestive heart failure patients are inadequate as they fail to accurately adjust pressure support levels to address the continuum of CSR severity and often overlook airway obstruction, leading to suboptimal treatment and potential errors in flow calculations.
Innovation Solution
A pressure support system that monitors breathing gas flow characteristics to determine a Target Flow sufficient for treating CSR, adjusting pressure levels based on real-time data to ensure effective ventilation, and delivering machine-triggered breaths optimally, while also considering airway obstruction and irregular breathing patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional flow measurement and pressure support adjustment methods are used, then the system is simple to operate, but measurement precision and treatment accuracy deteriorate due to biases in flow measurement and detection
Solution Approach 1:
The system continuously monitors patient flow characteristics and uses this feedback to dynamically adjust pressure support levels. The controller compares measured flow against target flow values and modifies IPAP/EPAP settings in real-time to maintain optimal ventilation, thereby improving measurement precision through closed-loop control.
Solution Approach 2:
The patent replaces conventional mechanical flow measurement methods with advanced sensing and computational techniques. By using flow sensors combined with algorithmic processing to determine target flow values and adjust pressure support, the system achieves higher measurement precision without proportionally increasing mechanical complexity.
2Reliability
If pressure support levels are not accurately adjusted, then the device is easy to operate, but treatment effectiveness worsens due to insufficient treatment of hypopneas and apneas
Solution Approach 1:
The system transitions from static pressure support settings to dynamic adjustment of IPAP and EPAP levels based on real-time flow monitoring. The controller continuously adapts pressure support to match patient needs during different phases of the respiratory cycle, improving treatment reliability for hypopneas and apneas while managing complexity through automated control algorithms.
Solution Approach 2:
The patent implements changes in pressure support parameters (IPAP, EPAP, and PEEP levels) based on measured flow characteristics. By adjusting these parameters dynamically according to target flow values derived from patient-specific flow patterns, the system improves treatment effectiveness without requiring complex manual intervention.
3Productivity
If machine-triggered breaths are not optimally delivered, then the system is simpler to control, but productivity and ventilation adequacy worsen during hypopnea intervals
Solution Approach 1:
The system performs preliminary assessment of patient flow characteristics and pre-calculates target flow values before initiating machine-triggered breaths. By anticipating ventilation needs during hypopnea intervals and preparing appropriate pressure support settings in advance, the system improves ventilation adequacy while streamlining the control process through proactive rather than reactive breath delivery.
Data Source
AI summary
A system and method for delivering a flow of breathing gas to an airway of a patient. A characteristic that varies based on variations of the flow of the breathing gas is monitored and used to determine a Target Flow for the gas delivered to the patient. The Target Flow is set to a level sufficient to treat Cheyne-Stokes respiration or a sleep disordered breathing event. The Target Flow is altered if the patient experiences a sleep disordered breathing event. In a further embodiment, the system determines an apnea detection time (Tapnea) as Tinsp plus a constant, and delivers a machine triggered breath if an amount since the start of inspiration reaches Tapnea. Yet another embodiment monitors the characteristic during an inspiratory phase of a respiratory cycle, and controls the flow of gas during the inspiratory phase of the respiratory cycle based on a result of this comparison.