3D Patient Interface Selection System for Sleep Apnea Fit Accuracy
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Solution Overview
Problem
Current methods for selecting patient interface devices for obstructive sleep apnea treatment are time-consuming and inaccurate, often resulting in improper fits and discomfort, which can lead to treatment failure due to the lack of efficient and precise fitting techniques.
Innovation Solution
An electronic apparatus that uses 3-D models of patient faces and interface devices to calculate geometric and patient criteria fit scores, allowing for fine adjustments and displaying an overall fit score to facilitate the selection of the most suitable device through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual methods are used for selecting patient interface devices, then the selection process can be completed with simple tools, but the accuracy and precision of fit assessment is poor
Solution Approach 1:
The patent creates a 3-D digital copy of the patient's face using imaging technology. This virtual model allows for precise measurement and assessment of fit without requiring physical trial fittings. The 3-D model can be manipulated and measured computationally to determine the optimal patient interface device size and type, significantly improving measurement precision while reducing the need for multiple physical devices.
Solution Approach 2:
The patent replaces manual measurement methods and physical trial fittings with automated image processing and computational analysis. The system uses software algorithms to analyze 3-D facial models, calculate fit scores, and recommend appropriate devices, eliminating the need for caregivers to manually measure and assess multiple physical interfaces.
2Reliability
If multiple patient interface devices are tried on to determine correct size, then the fit can be assessed physically, but the process becomes time consuming
Solution Approach 1:
The patent performs preliminary assessment by creating a 3-D model of the patient's face before any physical trial fittings. This pre-assessment provides accurate measurements and predictions of the optimal device size, eliminating the need for time-consuming trial fittings. The system calculates fit scores and recommends the best device based on the digital model, significantly reducing the time required while maintaining or improving reliability.
Solution Approach 2:
By using a 3-D digital copy of the patient's face, the system can simulate and assess multiple device fits virtually without requiring physical trial devices. This allows for rapid evaluation of different device options and immediate determination of the best fit, dramatically reducing the time needed compared to manual trial-and-error methods.
3Productivity
If caregiver estimation is used to select patient interface device size, then the process is quick and simple, but the accuracy of fit is insufficient
Solution Approach 1:
The patent enables the patient interface device selection process to be self-guided through an automated system that guides caregivers through standardized steps. The system automatically captures images, processes the 3-D model, calculates fit scores, and provides recommendations, reducing reliance on caregiver expertise and estimation while maintaining high efficiency. The standardized algorithm ensures consistent, accurate results regardless of individual caregiver skill levels.
Data Source
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AI summary
An electronic apparatus for use in selecting a patient interface device and including a geometric fit score determining unit (42) configured to calculate a geometric fit score for each of one or more of patient interface devices, a patient criteria fit score determining unit (44) configured to calculate a patient criteria fit score for each of the one or more patient interface devices, and an overall fit score determining unit (46) configured to calculate an overall fit score for each of the one or more patient interface devices based on the calculated geometric fit score and the calculated patient criteria fit score for each of the one or more patient interface devices.