Oxygen Therapy System with Duration Histogram Analysis
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Solution Overview
Problem
Physicians face challenges in prescribing suitable oxygen gas flow rates for patients undergoing home oxygen therapy, as blood oxygen levels and carbon dioxide partial pressures vary with activity and disease conditions, requiring continuous monitoring and data analysis to optimize treatment.
Innovation Solution
An oxygen therapy system that includes a storage unit for data on blood oxygen levels and carbon dioxide partial pressures, an arithmetic logical unit to calculate the duration of each flow rate within prescribed ranges, and a display unit to present this information as graphs, assisting physicians in determining optimal oxygen gas flow rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous monitoring of blood oxygen level and carbon dioxide partial pressure is performed to determine optimal oxygen gas flow rate, then the accuracy of prescription is improved, but the time required for data analysis and the burden on physician increases
Solution Approach 1:
The system automatically performs data collection, storage, and analysis before the physician needs to make a prescription. The arithmetic logical unit pre-calculates the proportion of duration where biological information remains within prescribed ranges, so when the physician views the results, the analytical work is already completed, reducing their time burden while maintaining prescription accuracy
Solution Approach 2:
The patent introduces an intermediary system consisting of the storage unit, arithmetic logical unit, and display unit that acts as a mediator between the continuous monitoring data and the physician. This intermediary automatically processes the raw data, calculates meaningful metrics (proportion of duration within prescribed ranges), and presents it in an easily interpretable format, thereby improving measurement precision while reducing the time the physician needs to spend on analysis
2Reliability
If detailed biological information data is collected and analyzed for each flow rate, then the reliability of oxygen therapy prescription is improved, but the device complexity increases
Solution Approach 1:
The system segments the analysis by dividing the data into different flow rate categories and calculating the proportion of duration for each flow rate separately. This segmentation allows the system to handle complex data in manageable units, improving prescription reliability by providing flow-rate-specific insights while keeping the device complexity manageable through modular data processing
Solution Approach 2:
The system performs self-service by automatically collecting, storing, and analyzing the biological information data without requiring manual intervention. The arithmetic logical unit autonomously calculates the proportion of duration where blood oxygen level and carbon dioxide partial pressure remain within prescribed ranges for each flow rate, and the display unit automatically presents the results, thereby improving reliability while minimizing the complexity burden on the user
3Loss of information
If multiple parameters (blood oxygen level, carbon dioxide partial pressure) are monitored simultaneously, then the completeness of patient data is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system merges the monitoring of multiple parameters (blood oxygen level and carbon dioxide partial pressure) into a unified data collection and analysis framework. The storage unit stores both parameters together, and the arithmetic logical unit analyzes them in combination to determine the proportion of duration where both remain within their respective prescribed ranges, thereby improving data completeness while managing the measurement difficulty through integrated processing
Data Source
AI summary
An oxygen therapy system receives data for an elapsed time such as a flow rate of oxygen gas, and a blood oxygen level or a carbon dioxide partial pressure in arterial blood (PaCO2) level of a user, from an oxygen supply device, calculates a proportion of a duration for each oxygen gas flow rate during which the blood oxygen level or PaCO2 is in a prescribed range from the acquired data in which the oxygen gas flow rate fluctuates with the blood oxygen level or carbon dioxide partial pressure in arterial blood (PaCO2), and displays the calculated data as a histogram or pie graph on a terminal which a healthcare worker such as a physician operates.