Actively Recruiting
Developing a Treatment Clustering System for Obstructive Sleep Apnea Using Polysomnographic Physiological Signals
Led by National Cheng-Kung University Hospital · Updated on 2024-08-06
150
Participants Needed
1
Research Sites
91 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Obstructive sleep apnea syndrome (OSA) is marked by repeated upper airway obstructions during sleep, affecting approximately 14% of men and 5% of women aged 30-70 years. However, precise clinical prediction tools for selecting optimal treatment strategies are lacking. This study aims to develop an automated treatment clustering system using artificial intelligence to classify patients based on etiology into (i) anatomical factors, (ii) reduced muscle responsiveness, and (iii) other non-anatomical factors. This system will analyze physiological sleep assessments, such as electromyography (EMG) and pneumotachographs, from a retrospective polysomnography (PSG) database. Cross-validation will be conducted on new OSA patients undergoing various management strategies, including surgical intervention, CPAP therapy, and oropharyngeal training (delivered face-to-face or via telerehabilitation). This system aims to enhance clinicians' ability to predict treatment success rates and improve patient outcomes.
CONDITIONS
Official Title
Developing a Treatment Clustering System for Obstructive Sleep Apnea Using Polysomnographic Physiological Signals
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Diagnosed with obstructive sleep apnea (OSA)
- Aged over 20 years
You will not qualify if you...
- Body mass index (BMI) of 32 or higher
- Central or mixed types of sleep apnea
- History of malignancy or infection in the head and neck area or laryngeal trauma
- Craniofacial malformation
- Stroke
- Neuromuscular disease
- Severe cardiovascular disease
- Active psychiatric illness
- Structural abnormalities in the upper respiratory airway
- Prior surgery or treatment on the neck
- Pregnancy
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
National Cheng Kung University Hospital
Tainan, Taiwan, 701
Actively Recruiting
Research Team
J
Jun-Hui Ong, MS
CONTACT
C
Ching-Hsia Hung, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
5
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