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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

227
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...
227

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Multi-Modal Home Sleep Monitoring in Older Adults
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Sleep Position Detection with a Wireless Audio-Motion Sensor-A Validation Study.

Wojciech Kukwa1, Tomasz Lis2, Jonasz Łaba3

  • 1Faculty of Dental Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.

Diagnostics (Basel, Switzerland)
|May 28, 2022
PubMed
Summary
This summary is machine-generated.

A neck-based sensor accurately detects body positions during sleep, crucial for obstructive sleep apnea patients. This technology offers reliable monitoring for sleep studies, improving data credibility.

Keywords:
actigraphyhome sleep studypolysomnographypositional sleep apnea

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Area of Science:

  • Medical Devices
  • Sleep Medicine
  • Biomedical Engineering

Background:

  • Body position significantly impacts breathing in obstructive sleep apnea (OSA).
  • Supine sleeping position often exacerbates OSA symptoms.
  • Accurate body position monitoring is vital for comprehensive sleep studies.

Purpose of the Study:

  • To evaluate the accuracy of a neck-based device (Clebre) in determining sleep positions.
  • To compare the device's performance against polysomnography (PSG).
  • To assess the feasibility of using the suprasternal notch for sleep monitoring.

Main Methods:

  • A neck-based audio-motion sensor was used alongside polysomnography (PSG).
  • 89 consecutive patients participated in the sleep study.
  • The device's accuracy was measured for supine, non-supine, lateral, and prone positions.

Main Results:

  • High accuracy was achieved in detecting supine (96.9%) and non-supine (97.0%) positions.
  • Lateral (right: 98.6%, left: 97.4%) and prone (97.3%) positions were also detected with high accuracy.
  • The neck-based sensor demonstrated excellent agreement with PSG findings.

Conclusions:

  • A neck-based sensor placed at the suprasternal notch accurately identifies sleep body positions.
  • This device offers a reliable and credible parameter for sleep studies.
  • The suprasternal notch is a promising location for future wireless sleep monitoring devices.