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Related Concept Videos

Sleep Apnea01:21

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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.
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REM Sleep Behavior Disorder01:15

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REM Sleep Behavior Disorder (RBD) is a sleep disorder characterized by the absence of muscle paralysis that normally occurs during the REM phase of sleep. This absence allows individuals to physically act out their dreams, which are often vivid and disturbing. Common behaviors exhibited during episodes include kicking, punching, and yelling. These actions can be dangerous, potentially leading to injuries for the person with RBD or their bed partner.
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Respiratory Volumes and Capacities I01:26

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Physical Assessment of the Respiratory Tract II: Inspection01:27

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Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
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A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
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Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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Characterizing the NREM/REM sleep specific obstructive sleep apnea severity using snore sounds.

S Akhter, U R Abeyratne, V Swarnker

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
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    Summary

    Snoring sounds can accurately estimate Obstructive Sleep Apnea (OSA) severity during Rapid Eye Movement (REM) and non-REM (NREM) sleep, independent of Polysomnography (PSG) sensors. This breakthrough allows for simpler OSA diagnosis using bedside devices.

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    Area of Science:

    • Medical Devices
    • Sleep Medicine
    • Biomedical Engineering

    Background:

    • Obstructive Sleep Apnea (OSA) diagnosis typically requires Polysomnography (PSG), a complex method with numerous sensors.
    • Differentiating OSA severity between Rapid Eye Movement (REM) and non-REM (NREM) sleep states is clinically significant but challenging with current methods.
    • Snoring, a common OSA symptom, is linked to upper airway (UA) muscle vibrations and distinct breathing patterns during different sleep stages.

    Purpose of the Study:

    • To investigate the feasibility of estimating Obstructive Sleep Apnea (OSA) severity during REM and NREM sleep states using only snoring and breathing sounds.
    • To develop and validate a method for OSA severity assessment independent of Polysomnography (PSG).
    • To explore the potential of using simple bedside sound acquisition devices for OSA monitoring.

    Main Methods:

    • Overnight audio recordings were collected from 91 patients undergoing PSG.
    • Snore sounds were labeled according to REM/NREM sleep stages based on PSG data.
    • Features capturing REM/NREM specific information from snore sounds were developed.
    • Logistic regression (LR) classifier models were trained to map snore features to OSA severity bands, with separate models for males and females.

    Main Results:

    • High sensitivity (94-100%) and specificity (84-89%) were achieved for NREM stages at an OSA severity threshold of 30 events/h.
    • High sensitivity (92-97%) and specificity (83-85%) were achieved for REM stages.
    • Results demonstrate the feasibility of distinguishing severe/non-severe OSA in both REM and NREM sleep using only acoustic data.

    Conclusions:

    • Snore and breathing sounds contain sufficient information to estimate Obstructive Sleep Apnea (OSA) severity separately for REM and NREM sleep.
    • Acoustic analysis of snoring offers a promising, non-invasive alternative to PSG for OSA severity assessment.
    • Simple bedside devices, like mobile phones, could potentially be used for OSA monitoring based on this approach.