Adaptive Oxygen Mixing Control Using SpO2 Feedback
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Solution Overview
Problem
Current oxygen mixing and delivery systems for patients lack adaptive control mechanisms to precisely regulate oxygen levels based on real-time patient data, often relying on manual adjustments and not effectively addressing variations in patient oxygenation needs.
Innovation Solution
An adaptive control system that utilizes a PID controller and data from a pulse oximeter to adjust oxygen concentration in the gas mixture delivered to a patient, incorporating feedback mechanisms for temperature, humidity, and flow rate to maintain target SpO2 levels, with separate units for the blender system and controller for flexibility and manual override capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustments are used to control oxygen levels, then the system is simple to operate, but the precision and adaptability of oxygen delivery is poor
Solution Approach 1:
The patent implements a feedback control system where a pulse oximeter continuously monitors the patient's SpO2 levels and sends this data to a controller. The controller automatically adjusts the oxygen concentration in the gas mixture based on the monitored SpO2 levels, creating a closed-loop feedback mechanism that maintains precise oxygen delivery without requiring manual intervention.
Solution Approach 2:
The system enables self-service operation where the adaptive control system automatically regulates oxygen delivery based on real-time patient data from the pulse oximeter. The controller autonomously adjusts gas mixture parameters without requiring continuous manual input from healthcare providers, allowing the system to self-regulate oxygen therapy.
2Adaptability or versatility
If adaptive control mechanisms are implemented, then oxygen delivery precision is improved, but the device complexity increases
Solution Approach 1:
The controller is designed as a multi-functional device that performs multiple tasks: it receives SpO2 data from the pulse oximeter, processes this data to determine appropriate oxygen therapy parameters, controls the gas blender to mix oxygen and air in the correct ratios, monitors flow rate and temperature, and triggers alarms when necessary. This universal controller consolidates multiple functions into a single device, reducing overall system complexity while maintaining high adaptability.
Solution Approach 2:
The patent replaces manual mechanical adjustment mechanisms with an automated electronic control system. Instead of requiring manual adjustment of gas flow rates and oxygen concentrations, the system uses electronic sensors, microprocessors, and automated valves to dynamically adjust parameters based on real-time patient data, substituting mechanical manual control with intelligent automated control.
3Ease of operation
If separate units for blender system and controller are used, then flexibility and manual override capabilities are enhanced, but the system complexity increases
Solution Approach 1:
The system is divided into separate functional units: a pulse oximeter for monitoring SpO2, a controller for processing data and making decisions, and a gas blender for mixing oxygen and air. This segmentation allows each component to be optimized independently and provides flexibility for manual override, as healthcare providers can intervene at any stage of the control chain without affecting the entire system.
Data Source
AI summary
An adaptive gas mixture controller system. A pulse oximeter interface receives pulse oximeter data. A gas blender interface communicates with a separate externally connected gas blender. A processor receives pulse oximeter data via the pulse oximeter interface and outputs data to the gas blender interface for adaptive feedback control of the gas mixture based upon the SpO2 level signals from the pulse oximeter interface. When the processor receives data from the gas blender indicating that the gas mixture has been manually changed, enters a manual override mode and halts sending adaptive feedback control signals to the gas blender. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.