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Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep

Recruitingn/aAges 30 Years - 75 YearsAllFu Jen Catholic University
NCT07447999 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study aims to develop a multimodal deep learning model that integrates noninvasive signals to predict the severity of obstructive sleep apnea. By establishing a clinically viable and user-friendly monitoring tool, the study seeks to enhance early screening accessibility and support the development of home-based sleep care systems.

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📋 Eligibility rules (as published)
Inclusion Criteria: * age 30-75 years * clinically suspected obstructive sleep apnea and scheduled for polysomnography * willing and able to provide written informed consent Exclusion Criteria: * intolerance to the electronic stethoscope or fingertip pulse oximeter * significant structural airway abnormalities * arrhythmia * neuromuscular disorders * pregnancy * hospitalization within the past 1 month * inability to provide informed consent or requiring legal guardian consent
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What it tests

  • electronic stethoscope
  • fingertip pulse oximeter
  • pressure-sensing mattresses
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Where

1 site
Fu Jen Catholic University Hospital, Fu Jen Catholic University
New Taipei City, Taiwan
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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