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Updated: Jul 9, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Obstructive sleep apnea diagnosis and beyond using portable monitors.
Kareem Abu1, Massoud L Khraiche2, Jason Amatoury3
1Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture (MSFEA), American University of Beirut, Beirut, Lebanon; Neural Engineering and Nanobiosensors Group, American University of Beirut, Beirut, Lebanon; Sleep and Upper Airway Research Group (SUARG), American University of Beirut, Beirut, Lebanon.
Portable monitors for obstructive sleep apnea (OSA) show promise for rapid diagnosis. While more signals don't always mean better accuracy, these devices can personalize treatment beyond just the apnea-hypopnea index (AHI).
Area of Science:
- Sleep Medicine
- Biomedical Engineering
- Respiratory Physiology
Background:
- Obstructive sleep apnea (OSA) is a prevalent chronic disorder linked to serious health issues like cardiovascular disease and cognitive decline.
- Accurate, rapid, and portable diagnostic methods are crucial for timely OSA intervention.
- Current diagnosis relies on polysomnography, which is not always practical for widespread screening.
Purpose of the Study:
- To review physiological signals used in portable monitors (PMs) for detecting respiratory events in OSA.
- To evaluate the effectiveness of PMs compared to polysomnography for OSA diagnosis.
- To explore the potential of PMs for deriving non-AHI metrics and enabling personalized treatment strategies.
Main Methods:
- Review of literature on physiological signals and their application in portable OSA diagnostic devices.
- Comparative analysis of PM performance against polysomnography (gold standard).
- Examination of metrics derived from PMs, including the apnea-hypopnea index (AHI) and novel non-AHI parameters.
Main Results:
- Increasing the number of physiological parameters in PMs does not guarantee improved OSA detection accuracy.
- Performance variations exist among different PMs, even those utilizing similar signals.
- PMs offer potential for deriving endotypic and other non-AHI metrics, aiding in personalized treatment.
Conclusions:
- Portable monitors are evolving as effective tools for OSA diagnosis and characterization.
- Thorough evaluation and validation of PM technology are essential for clinical adoption.
- Advancements in PMs can revolutionize OSA diagnosis, leading to improved patient outcomes and personalized care.
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