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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

354
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...
354

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Related Experiment Video

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A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.

Ibrahim Sadek1,2,3, Terry Tan Soon Heng4, Edwin Seet5

  • 1AMI-Lab, Computer Science Department, Faculty of Science, University of Sherbrooke, Sherbrooke, QC, Canada.

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|September 18, 2020
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Summary

This study shows that a microbend fiber optic sensor (MFOS) can detect sleep apnea and vital signs nonintrusively. While apnea detection accuracy was moderate, the sensor showed promise for patient monitoring without wearable devices.

Keywords:
ballistocardiographyeHealthhome caremobile healthsleep apneavital signs

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Area of Science:

  • Biomedical Engineering
  • Medical Devices
  • Health Monitoring

Background:

  • Rising healthcare costs and physician shortages necessitate advanced patient monitoring solutions.
  • Nonintrusive vital sign monitoring offers a potential method to address gaps in patient care.
  • Ballistocardiogram (BCG) sensors, particularly nonwearable ones like microbend fiber optic sensors (MFOS), are emerging for conditions like obstructive sleep apnea (OSA).

Purpose of the Study:

  • To evaluate the efficacy of a microbend fiber optic sensor (MFOS) for nonintrusive vital sign and sleep apnea detection.
  • To assess MFOS performance during an in-lab sleep study involving patients with sleep apnea.

Main Methods:

  • Ten participants underwent polysomnography (PSG) with an MFOS placed under their mattress for BCG data collection.
  • Apneic event detection was evaluated against PSG, while vital sign accuracy (heart rate and respiratory rate) was assessed using NMAE, NRMSE, and MAPE.
  • Electrocardiogram and thoracic effort signals served as references for vital sign algorithm performance estimation.

Main Results:

  • The MFOS system demonstrated moderate accuracy (49.96%) for sleep apnea detection compared to PSG.
  • The system achieved high accuracy for heart rate (NMAE 5.42%, NRMSE 6.54%, MAPE 5.41%) and respiratory rate (NMAE 11.42%, NRMSE 13.85%, MAPE 11.60%) estimation.
  • The sensor's performance for vital sign detection was comparable to PSG outcomes.

Conclusions:

  • The MFOS shows potential for nonintrusive sleep apnea detection, especially considering its single-channel BCG approach.
  • Satisfactory results for vital sign detection support the MFOS's utility in patient monitoring.
  • Preliminary findings suggest MFOS is a viable option for nonintrusive sleep apnea detection and vital sign monitoring.