Therapeutic Gas Flow Compensation During Sensor Measurement Disruptions
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Solution Overview
Problem
Existing therapeutic gas delivery systems, such as those delivering nitric oxide, face disruptions in breathing gas flow measurement, leading to potential interruptions in treatment and risks like rebound pulmonary hypertension and incorrect dosing.
Innovation Solution
The system stores historical breathing gas flow rate data, including moving averages and waveforms, to compensate for disruptions by using this data to continue therapeutic gas delivery when current measurements are unavailable or unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time breathing gas flow measurement is used to control therapeutic gas delivery, then dosing accuracy is improved, but system reliability deteriorates due to sensor failures and communication disruptions
Solution Approach 1:
The system stores historical breathing gas flow rate data before disruptions occur. This preliminary action ensures that when sensor failures or communication disruptions happen, the controller can immediately switch to using stored historical data to maintain continuous therapeutic gas delivery without interruption, thus resolving the contradiction between dosing accuracy and system reliability
Solution Approach 2:
The system dynamically switches between different data sources (real-time sensor data vs. historical data) based on system conditions. When real-time measurement is available, it uses that for precise dosing; when disruptions occur, it transitions to using historical data parameters, maintaining both dosing accuracy and system reliability through adaptive parameter selection
2Reliability
If historical breathing gas flow rate data is stored and used during disruptions, then system reliability is improved, but device complexity increases
Solution Approach 1:
The controller performs multiple functions: it controls therapeutic gas delivery, stores historical flow rate data, detects disruptions, and switches between data sources. By making the controller multi-functional, the system achieves improved reliability without adding separate dedicated components for each function, thus managing device complexity while maintaining system reliability
3Measurement precision
If continuous monitoring of breathing gas flow is implemented, then measurement precision is improved, but loss of information increases due to sensor failures
Solution Approach 1:
The system continuously monitors breathing gas flow using sensors and implements feedback control. When disruptions are detected, the feedback mechanism triggers a switch to using historical data, ensuring that measurement precision is maintained through continuous monitoring while preventing information loss by having backup data sources ready to compensate for sensor failures
Data Source
AI summary
The present disclosure generally relates to systems and methods for delivery of therapeutic gas to patients, using techniques to compensate for disruptions in breathing gas flow measurement, such as when breathing gas flow measurement is unavailable or unreliable. Such techniques include using historical breathing gas flow rate data, such as moving average flow rates, moving median flow rates and/or flow waveforms. At least some of these techniques can be used to ensure that interruption in therapeutic gas delivery is minimized or eliminated.