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Published on: January 26, 2019
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Sleep apnea phenotypes based on multi-night assessment of sleep perception
Jasmin Kuhn1,2, Laura R B Schiphorst1,2, Bernice M Wulterkens1
1Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Behavioral Sleep Medicine
|February 14, 2026
Summary
Individuals with obstructive sleep apnea (OSA) show varied sleep perception patterns. Identifying these phenotypes using multi-night data can lead to personalized treatments for better quality of life.
Area of Science:
- Sleep Medicine
- Biomedical Engineering
Background:
- Sleep time discrepancy is linked to reduced quality of life in obstructive sleep apnea (OSA) patients.
- Understanding multi-night sleep perception in habitual environments is crucial for OSA management.
Purpose of the Study:
- To identify obstructive sleep apnea (OSA) phenotypes based on multi-night sleep perception patterns.
- To explore the relationship between sleep perception patterns and clinical characteristics in OSA patients.
Main Methods:
- Utilized wrist-worn photoplethysmography sensors and digital sleep diaries for multi-night sleep monitoring.
- Applied k-means clustering to identify sleep perception patterns using the misperception index (MI).
- Compared identified clusters across demographic and clinical parameters.
Main Results:
- Identified four distinct OSA sleep perception clusters from 1485 nights of data across 120 individuals.
- Clusters included accurate estimation, underestimation (with insomnia), severe underestimation (with high cognitive arousal), and variable overestimation (older, higher AHI).
Conclusions:
- Multi-night sleep perception patterns reveal distinct OSA phenotypes with varying clinical features.
- Recognizing OSA heterogeneity through sleep perception can inform personalized treatment strategies.
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