Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep
Recruiting
Observational Study
Obstructive Sleep Apnea (OSA)
Polysomnography
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 30 – 75
- Sex
- Any
- Study type
- Observational
- Participants needed
- 150 (estimated)
- Sponsor
- Fu Jen Catholic University · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
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…
Contacts