Sleep Assessment Using WASOXmin for COMISA Differentiation
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Solution Overview
Problem
Current methods struggle to differentiate between insomnia, obstructive sleep apnea (OSA), and comorbid insomnia and obstructive sleep apnea (COMISA) due to overlapping symptoms and differing diagnostic approaches, leading to missed diagnoses and inadequate treatment.
Innovation Solution
An apparatus and method using multiple objectively measured sleep parameters, including Wakefulness After Sleep Onset for at least X Minutes (WASOXmin) and other parameters, to distinguish between insomnia, OSA, COMISA, and neither condition, employing rule-based methods, decision trees, clustering algorithms, and predictive models for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polysomnography is used to identify OSA, then objective measurement of OSA is achieved, but differentiation from insomnia and COMISA remains challenging due to overlapping symptoms
Solution Approach 1:
The patent segments the sleep assessment into multiple distinct parameters (sleep onset latency, wake after sleep onset, apnea-hypopnea index, oxygen desaturation index, sleep efficiency) rather than relying on a single metric. This segmentation allows differentiation between insomnia, OSA, and COMISA by analyzing patterns across multiple dimensions of sleep data.
Solution Approach 2:
The patent transitions from single-night polysomnography to multi-night sleep assessment, adding the temporal dimension of repeated measurements. This enables detection of variability patterns that distinguish COMISA (high variability) from pure insomnia or OSA, resolving the differentiation challenge.
2Loss of time
If single night polysomnography is used, then quick assessment is achieved, but reliability and accuracy in distinguishing COMISA from insomnia or OSA alone is insufficient
Solution Approach 1:
The patent performs preliminary screening using subjective insomnia measures (ISI, PSQI) and objective sleep parameters from the first night of polysomnography to identify candidates for multi-night assessment. This preliminary action filters subjects who need extended monitoring, optimizing the balance between time investment and diagnostic reliability.
Solution Approach 2:
The patent implements continuous multi-night sleep monitoring with repeated polysomnography sessions to capture variability in sleep patterns. This continuity of measurement provides reliable differentiation between COMISA and other sleep disorders by observing consistent patterns across multiple nights rather than relying on a single assessment.
3Measurement precision
If multiple sleep parameters are measured objectively, then differentiation accuracy between insomnia, OSA and COMISA is improved, but measurement complexity and data analysis burden increase
Solution Approach 1:
The patent extracts and focuses on specific key parameters (sleep onset latency, wake after sleep onset duration, apnea-hypopnea index, oxygen desaturation index, sleep efficiency) from the comprehensive polysomnography data set. By selecting and analyzing only these critical parameters rather than all available measurements, the system maintains high differentiation accuracy while reducing analysis complexity.
Solution Approach 2:
The patent employs feedback loops where initial sleep assessment results guide subsequent measurement strategies. Subjects with ambiguous initial results or high variability patterns trigger additional nights of monitoring, while clear cases can be resolved more quickly. This feedback mechanism optimizes the balance between measurement thoroughness and system complexity.
Data Source
AI summary
According to an aspect, there is provided an apparatus (100) for assessing sleep of a subject, the apparatus comprising a processor (102) configured to: receive data indicative of one or more physiological parameters associated with a subject; determine, based on the data, two or more sleep parameters relating to sleep of the subject; and determine, based on the sleep parameters, whether the subject is suffering from (a) obstructive sleep apnoea, (b) insomnia, (c) comorbid insomnia and obstructive sleep apnoea, or (d) neither obstructive sleep apnoea nor insomnia, wherein a first sleep parameter of the two or more sleep parameters comprises Wakefulness After Sleep Onset for at least X Minutes, WASOXmin, wherein WASOXmin comprises the sum of awakenings with a duration of X minutes or longer during a sleep session, wherein X is equal to, or greater than, 1.


