Wellbeing Indication System for Respiratory Therapy Adherence
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Solution Overview
Problem
Users with sleep-related and respiratory disorders often find existing respiratory therapy systems uncomfortable, difficult to use, expensive, and aesthetically unappealing, leading to non-adherence and a lack of perceived benefits in sleep quality and symptom reduction.
Innovation Solution
A method and system that determine and compare measures of wellbeing during periods of adherence and non-adherence to respiratory pressure therapy, providing users with an indication of how therapy adherence improves their wellbeing by normalizing and comparing various objective and subjective measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If respiratory therapy system is provided to treat sleep-related disorders, then treatment effectiveness is improved, but user comfort and ease of use deteriorate
Solution Approach 1:
The system provides feedback to users by comparing their wellbeing measures during therapy adherence periods versus non-adherence periods. This feedback loop motivates users to maintain therapy adherence by visually demonstrating the benefits through normalized comparisons of sleep quality, fatigue, and other wellbeing parameters.
Solution Approach 2:
The system enables users to self-monitor their wellbeing using multiple devices and sources, allowing them to independently track and compare their own therapy adherence outcomes without requiring continuous professional intervention or complex manual tracking.
2Measurement precision
If multiple wellbeing measures are collected and normalized, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by aggregating data from diverse device types (wearables, smart devices, home assistants, exercise equipment) and normalizing them into unified wellbeing measures. This universal approach allows a single system to handle multiple measurement sources without requiring separate specialized systems for each metric.
Solution Approach 2:
The system introduces normalization as an intermediary process that bridges diverse measurement sources. By converting various wellbeing measures into normalized formats, the system simplifies the complexity of handling multiple device types while maintaining measurement precision through standardized comparisons.
Data Source
AI summary
Systems and methods involve determining one or more first measures of wellbeing of a user with sleep disordered breathing during an off period when the user is not adhering to a positive airway pressure therapy. The systems and methods also involve determining one or more second measures of the wellbeing of the user during an on period when the user is at least partially adhering to the positive airway pressure therapy. The systems and methods also involve presenting an indication to the user on how at least partially adhering to the positive airway pressure therapy improves the wellbeing of the user by comparing the one or more first measures to the one or more second measures.


