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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

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Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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The human body requires oxygen to function, and when the natural process of respiration is hindered, external devices, including the following, are needed to help deliver this vital gas.
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Related Experiment Video

Updated: Mar 6, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
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Published on: January 26, 2019

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Portable prescreening system for sleep apnea.

Martin Kjaer Guul, Poul Jennum, Helge B D Sorensen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary
    This summary is machine-generated.

    A new smartphone-based system can identify individuals at high risk for obstructive sleep apnea (OSA) at home. This portable monitoring tool aims to reduce unnecessary sleep clinic visits and improve diagnostic accuracy for sleep apnea.

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    Area of Science:

    • Biomedical Engineering
    • Sleep Medicine
    • Digital Health

    Background:

    • Obstructive sleep apnea (OSA) affects over 4% of adults.
    • Current OSA diagnosis methods are costly and have low specificity.
    • A need exists for accessible, portable home-based screening tools.

    Purpose of the Study:

    • To develop a portable, smartphone-based home monitoring system for OSA risk assessment.
    • To classify patients as high-risk or low-risk for OSA using accessible technology.
    • To improve pre-test reliability for OSA diagnosis and streamline referrals.

    Main Methods:

    • Utilized an Android smartphone with built-in accelerometer and microphone.
    • Developed a MATLAB-based graphical user interface for data visualization and analysis.
    • Classified apnea events using audio features and sternal accelerometer data.
    • Estimated sleep position and analyzed respiratory patterns using accelerometer data.

    Main Results:

    • The system successfully classified patients into high-risk or low-risk categories for OSA.
    • Distinguished between obstructive sleep apnea (OSA) and central sleep apnea (CSA) based on respiratory pattern morphology.
    • Provided sleep position estimation from accelerometer data.

    Conclusions:

    • A portable, smartphone-based system offers a viable solution for home-based OSA screening.
    • The developed system can aid in identifying individuals who require further sleep apnea investigation.
    • This approach has the potential to reduce healthcare costs and improve diagnostic efficiency for sleep apnea.