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Related Experiment Videos

A Wireless Monitoring System Using a Tunneling Sensor Array in a Smart Oral Appliance for Sleep Apnea Treatment.

Kun-Ying Yeh1, Chao-Chi Yeh2, Chun-Chang Wu3

  • 1Graduate Institute of Electronics Engineering, National Taiwan University, Taipei 10617, Taiwan. d98943028@ntu.edu.tw.

Sensors (Basel, Switzerland)
|October 17, 2017
PubMed
Summary

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This summary is machine-generated.

This study introduces a smart oral appliance for obstructive sleep apnea (OSA) monitoring. It uses a System-on-a-Chip and sensitive sensors to track tongue movement, improving treatment efficiency.

Area of Science:

  • Biomedical Engineering
  • Sleep Medicine
  • Sensor Technology

Background:

  • Obstructive sleep apnea (OSA) is a prevalent sleep disorder with serious health implications.
  • Oral appliance therapy is effective for OSA but faces challenges in patient-specific fitting and efficiency.
  • Continuous monitoring of physiological data during therapy can enhance treatment outcomes.

Purpose of the Study:

  • To develop a System-on-a-Chip (SoC) enabled smart oral appliance for intelligent sleep monitoring.
  • To accurately detect tongue movement during OSA therapy using advanced sensor technology.
  • To improve the efficiency and effectiveness of oral appliance therapy for obstructive sleep apnea.

Main Methods:

  • Integration of a System-on-a-Chip (SoC) into a smart oral appliance.
Keywords:
OSASoCprototype modulesleep apneasleep monitoringsmart oral appliancetunneling sensorwireless

Related Experiment Videos

  • Incorporation of an ultra-high sensitivity tunneling sensor array for tongue pressure detection.
  • Wireless data transmission, data storage, and radio frequency (RF) power harvesting for continuous operation.

    • Main Results:

    • A compact prototype module (4.5 × 2.5 × 0.9 cm³) was successfully implemented and embedded in an oral appliance.
    • Accurate detection of subtle tongue movements in continuous time frames was demonstrated.
    • The system verified its functionality for intelligent sleep monitoring during OSA therapy.

    Conclusions:

    • The proposed SoC-enabled oral appliance offers an efficient and comprehensive solution for obstructive sleep apnea treatment.
    • This technology enhances oral appliance therapy by providing continuous, accurate tongue movement data.
    • The system aims to increase treatment efficiency and serve as a complete solution for OSA management.