Respiratory Support Feedback for PAP Adherence and Sleep Misperception
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Solution Overview
Problem
PAP therapy for sleep-disordered breathing conditions causes discomfort, leading to high dropout rates due to sleep misperception, where subjects believe they are sleeping less than they actually are, which can result in anxiety and reduced adherence to treatment.
Innovation Solution
A computer-implemented method to determine sleep misperception by combining sleep condition information, such as SDB and insomnia data, with sleep quality information, using questionnaires and surrogate measures like PPG, to accurately assess the discrepancy between subjective and objective sleep times, allowing for tailored adjustments to PAP therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PAP therapy is provided to treat sleep-disordered breathing, then the airway remains open and breathing improves, but the therapy causes discomfort leading to sleep misperception and high dropout rates
Solution Approach 1:
The system continuously monitors objective sleep parameters (sleep time, sleep stages, breathing events) and compares them with the user's subjective perception. This feedback loop enables detection of sleep misperception and triggers appropriate responses such as therapy adjustment or user education, resolving the contradiction by maintaining treatment efficacy while addressing discomfort through informed adaptation.
Solution Approach 2:
The patent replaces cumbersome mechanical EEG measurement systems with non-invasive surrogate measures (heart rate variability, body movements, respiratory patterns) to assess sleep quality. This substitution eliminates the discomfort associated with traditional sleep monitoring while maintaining accurate detection of sleep parameters, thereby reducing therapy-related discomfort without compromising treatment reliability.
2Measurement precision
If EEG measurements are used to accurately determine objective sleep time, then measurement precision improves, but device complexity and user burden increase due to cumbersome equipment
Solution Approach 1:
The system creates a simplified copy of EEG functionality using surrogate measures that can be obtained from standard sleep monitoring devices. Instead of requiring actual EEG electrodes and complex processing, the system uses correlated physiological signals (heart rate, movements, respiration) that serve as proxies for sleep stage detection, maintaining measurement precision while dramatically reducing device complexity.
Solution Approach 2:
The patent employs inexpensive, non-invasive sensors and algorithms that can be easily deployed and removed, replacing expensive, complex EEG equipment. These surrogate measure-based systems are cost-effective, user-friendly, and sufficient for determining objective sleep time, thereby improving accessibility without sacrificing measurement accuracy.
3Reliability
If sleep quality monitoring is implemented to detect sleep misperception, then adherence to PAP therapy improves, but the system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified monitoring platform that simultaneously tracks objective sleep parameters, compares them with subjective user reports, detects sleep misperception, and provides therapy guidance. By consolidating these functions, the system improves adherence through comprehensive monitoring without proportionally increasing complexity, as the same hardware and software infrastructure serves multiple purposes.
Data Source
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AI summary
There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.