RecruitingNCT07447999

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

A Multisensor Deep Neural Framework Combining Digital Auscultation, Oxygen Saturation, and Motion Data to Estimate the Apnea-Hypopnea Index in Obstructive Sleep Apnea

Sponsor

Fu Jen Catholic University

Enrollment

150 participants

Start Date

Sep 5, 2025

Study Type

OBSERVATIONAL

Conditions

Obstructive Sleep Apnea (OSA)Polysomnography

Summary

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.

Eligibility

Min Age: 30 YearsMax Age: 75 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called electronic stethoscope, a medical device called fingertip pulse oximeter, and others for people with obstructive sleep apnea (osa) and polysomnography. The study is currently recruiting participants at 1 location. People eligible for this study include aged 30 Years to 75 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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