Closed Loop Respiratory Support with Dynamic Adaptability
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Solution Overview
Problem
Current systems for controlling arterial oxygen saturation in patients with fluctuating oxygen needs, such as premature infants, rely on manual adjustments by medical professionals, which can be time-consuming and inconsistent, leading to potential harm due to fluctuations in FiO2 levels and increased risk of conditions like retinopathy of prematurity.
Innovation Solution
An automatic control system that monitors and adjusts FiO2 and gas flow using a microcontroller, adaptive algorithms, and sensors to maintain optimal SpO2 levels, incorporating a dynamic adaptability feature that learns from patient data to adjust oxygen delivery precisely and consistently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustments of FiO2 are made by medical professionals, then the system can be simple and easy to operate, but the control precision and consistency deteriorate leading to potential harm
Solution Approach 1:
The system automatically monitors and adjusts FiO2 levels without requiring manual intervention from medical professionals. The microcontroller continuously reads SpO2 sensor data and autonomously modifies the oxygen delivery to maintain target saturation levels, eliminating the need for human operation while ensuring consistent and precise control.
Solution Approach 2:
The system implements closed-loop feedback control where the microcontroller continuously monitors SpO2 levels via sensors and adjusts FiO2 delivery based on real-time readings. This feedback mechanism ensures precise maintenance of target SpO2 ranges, automatically compensating for patient fluctuations and eliminating manual adjustment delays.
2Speed
If manual adjustments of FiO2 are made by medical professionals, then the device complexity is reduced, but the response time and consistency deteriorate
Solution Approach 1:
The system continuously monitors SpO2 levels and automatically adjusts FiO2 delivery without interruption or delay. The microcontroller operates continuously, reading sensor data and modifying oxygen delivery in real-time, ensuring immediate response to patient changes without the delays inherent in manual assessment and adjustment.
Solution Approach 2:
The automatic control system independently responds to SpO2 fluctuations without requiring medical professional intervention. The microcontroller processes sensor data and executes FiO2 adjustments autonomously, providing instantaneous response to patient needs while eliminating the time required for manual assessment and ordering.
3Reliability
If FiO2 levels are increased to treat desaturation events, then patient oxygenation improves, but the risk of retinopathy of prematurity increases
Solution Approach 1:
The system dynamically adjusts FiO2 levels based on real-time SpO2 measurements and patient-specific target ranges. Rather than using fixed high FiO2 settings, the microcontroller continuously modulates oxygen delivery to maintain saturation within safe ranges, adapting to patient needs while minimizing excessive oxygen exposure that could cause retinopathy.
Solution Approach 2:
The system changes FiO2 parameters dynamically based on measured SpO2 levels and individual patient targets. The microcontroller calculates appropriate FiO2 adjustments to achieve and maintain safe saturation ranges, avoiding both hypoxia and hyperoxia, thereby treating oxygenation needs while preventing retinopathic effects of excessive oxygen.
Data Source
AI summary
The disclosure provides an automatic system based on the dynamic adaptability strategy for controlling oxygen concentration in blood of patients with fluctuating oxygen needs. The system monitors patient's clinical measurement data and updates the system continuously, which provides changes in FiO2 and gas flow that are more patient specific and reduce the patient's unnecessary oxygen exposure.