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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

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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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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Related Experiment Video

Updated: Jun 18, 2026

Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea
07:54

Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

Acoustic obstructive sleep apnea detection.

Azadeh Yadollahi1, Zahra Moussavi

  • 1Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6. azadeh@ee.umanitoba.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

A new portable system accurately detects obstructive sleep apnea (OSA) using breathing sounds and blood oxygen levels. This cost-effective method shows high correlation with polysomnography, offering a promising alternative for OSA diagnosis.

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Image Acquisition using Portable Sonography for Emergency Airway Management
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Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea
07:54

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Published on: December 6, 2016

Image Acquisition using Portable Sonography for Emergency Airway Management
07:31

Image Acquisition using Portable Sonography for Emergency Airway Management

Published on: September 28, 2022

Area of Science:

  • Respiratory Medicine
  • Biomedical Engineering
  • Medical Devices

Background:

  • Obstructive sleep apnea (OSA) is a prevalent respiratory disorder characterized by airway collapse during sleep.
  • Current gold standard diagnosis via polysomnography (PSG) is costly and inconvenient.
  • There is a need for simpler, portable OSA detection methods.

Purpose of the Study:

  • To develop and evaluate a novel, portable system for obstructive sleep apnea (OSA) detection and monitoring.
  • To utilize tracheal breathing sounds and blood oxygen saturation (S(a)O(2)) for OSA event identification.
  • To create an automated system for differentiating OSA patients from simple snorers.

Main Methods:

  • Developed a system using two data channels: tracheal breathing sounds and S(a)O(2) levels.
  • Implemented an automated method to segment and classify breathing sound signals (breath, snore, noise).
  • Employed a fuzzy algorithm analyzing S(a)O(2) fluctuations and sound segments to detect apnea and hypopnea events.

Main Results:

  • The developed system demonstrated a high correlation (96%) with full-night polysomnography (PSG) results.
  • Achieved sensitivity and specificity exceeding 90% in distinguishing simple snorers from OSA patients.
  • The automated analysis of breathing sounds and S(a)O(2) effectively identified respiratory events.

Conclusions:

  • The novel system offers a reliable and portable solution for obstructive sleep apnea (OSA) detection.
  • This approach provides a cost-effective and convenient alternative to traditional polysomnography (PSG).
  • The high accuracy suggests potential for widespread clinical application in OSA diagnosis and monitoring.