Intelligent Oxygen Therapy System with AI Feedback Control

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Solution Overview

Problem

Current oxygen therapy systems rely on manual regulation, leading to inefficient oxygen delivery, increased risk of damage due to inappropriate oxygen levels, and high false alarm rates, which can result in irreversible organ damage and overwhelm nursing staff.

Innovation Solution

An intelligent automatic oxygen therapy system that uses interrelated body variable measurements (oxygen saturation, heart rate, blood pressure, respiratory rate, etc.) and artificial intelligence to automatically control oxygen dosage, reducing unnecessary alarms and optimizing treatment based on patient-specific needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual regulation of oxygen flow is used, then the system is simple to operate, but the reliability of oxygen delivery is poor and inappropriate oxygen levels may cause irreversible organ damage

Engineering Contradiction:
Improvereliability of oxygen deliveryVSAvoidcomplexity of oxygen therapy system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically monitors patient parameters (SpO2, heart rate, respiratory rate) and self-adjusts oxygen flow rates without requiring continuous manual intervention. The microprocessor-controlled pump autonomously regulates gas delivery based on real-time physiological data, eliminating the need for constant nursing supervision while maintaining reliable oxygen delivery.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements closed-loop feedback by continuously monitoring patient physiological parameters and using this information to automatically adjust oxygen therapy. The microprocessor receives real-time data from sensors, compares current status against target ranges, and dynamically modifies pump output to maintain optimal oxygen saturation levels.

Inventive Principle:
Principle #23Feedback

2Productivity

If manual supervision of multiple patients is performed, then the system requires minimal automation, but the time consumption increases and nursing staff are overwhelmed

Engineering Contradiction:
Improvenursing efficiencyVSAvoidautomation level of oxygen therapy
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The oxygen therapy system performs self-monitoring and self-regulation of multiple patients simultaneously, freeing nursing staff from routine supervision tasks. The automated system handles continuous parameter monitoring, alarm management, and therapy adjustment for each patient independently, dramatically improving nursing productivity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system is designed to universally monitor and control oxygen therapy for multiple patients with different clinical conditions through a single integrated platform. The microprocessor-controlled pump can be configured for various patient types and automatically adapts its monitoring and control algorithms to each individual's needs.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If general alarm ranges are used for all patients, then the alarm system is simple to configure, but the measurement precision for individual patient needs deteriorates

Engineering Contradiction:
Improveprecision of patient-specific monitoringVSAvoidcomplexity of alarm configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements patient-specific alarm thresholds and target saturation ranges tailored to each individual's clinical condition, age, and pathology. Instead of using universal alarm settings, the microprocessor configures customized monitoring parameters for each patient, ensuring precise and relevant alerts that reflect individual physiological needs.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The alarm system dynamically adjusts monitoring parameters and alert thresholds based on each patient's specific clinical condition and real-time physiological status. The system adapts target saturation ranges and alarm limits according to the patient's age, diagnosis, and current state, providing dynamic rather than static monitoring parameters.

Inventive Principle:
Principle #15Dynamics

4Reliability

If excessive oxygen is administered, then the oxygen saturation level is high, but harmful effects occur such as retinopathy of prematurity

Engineering Contradiction:
Improveoxygen saturation controlVSAvoidharmful effects of oxygen therapy
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system uses real-time feedback from SpO2 sensors to automatically adjust oxygen delivery, preventing both hypoxia and hyperoxia. The microprocessor continuously monitors saturation levels and modulates pump output to maintain oxygen within a safe target range, avoiding the harmful effects of excessive oxygen administration while preventing inadequate oxygenation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically changes oxygen flow rate parameters based on real-time physiological feedback to maintain optimal saturation levels. By continuously adjusting the concentration and flow of administered oxygen according to measured SpO2 values, the system prevents parameter extremes that could cause harmful effects like retinopathy of prematurity.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system ensures reliable oxygen saturation levels, minimizes adverse effects from oxygen imbalances, reduces false alarms, and optimizes oxygen delivery, thereby enhancing patient care and reducing the burden on nursing staff.

Implementation Method 1

monitoring the SpO2 through a pulse oximeter

Methodology Applied
Scientific EffectAbsorption (EM radiation): Absorption (EM radiation)

Data Source

PatentUS20220331544A1Intelligent automatic oxygen therapy system
Publication Date: 2022.10.20 TORRES VOLKER KAREL ESPINOZA
  • US20220331544A1 patent drawing
  • US20220331544A1 patent drawing
  • US20220331544A1 patent drawing

AI summary

The Intelligent Automatic Oxygen Therapy System provides a device that allows the automatic and intelligent dosage of the percentage of an oxygen/air gas mixture and the flow delivered to each patient through non-invasive oxygen therapy procedures, based on the analysis of several measured variables that confirm the SpO2 value before taking any action. This device allows to measure biomedical signs with the main object of monitoring the oxygen saturation (SpO2), confirming its value with the analysis of the mentioned signs according to their concordance and interrelationship with each other. The equipment through artificial intelligence detects events that can occur due to the movement or for misplaced sensors. It also keeps and analyzes the records of the patient, evaluates the alarms in an intelligent way by correlating all acquired data; with this analysis the equipment can automatically and reliably provide the oxygen/air mixture adequate for each patient, with five operation modes. It activates the processed and valid alarms in an intelligent way and informs in a timely manner to the personal staff about possible found pathologies.