Developing a Treatment Clustering System for Obstructive Sleep Apnea Using Polysomnographic Physiological Signals

Launched by NATIONAL CHENG-KUNG UNIVERSITY HOSPITAL · Jul 16, 2024

Keywords

ClinConnect Summary

This clinical trial is focused on improving the treatment of obstructive sleep apnea (OSA), a condition where a person's breathing repeatedly stops and starts during sleep, affecting many adults. Researchers are developing a new system that uses artificial intelligence to analyze sleep data and help doctors understand which treatment might work best for each patient. The system will look at different reasons why someone might have OSA, including physical factors and how well the muscles respond during sleep. By doing this, they hope to better predict which treatments—like surgery, CPAP therapy (a machine that helps with breathing during sleep), or special exercises—will be most effective for each person.

To participate in this trial, individuals must be diagnosed with OSA and be over 20 years old. However, certain people won't be eligible, such as those with a high body weight (BMI over 32), certain types of sleep apnea, or other serious health issues. Participants can expect to have their sleep data analyzed and may receive different types of treatment to see how well they work for them. This study aims to enhance the way doctors treat OSA, ultimately leading to better sleep and health for patients.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • OSA patients
• • Aged over 20 years
• Exclusion Criteria:
• • BMI≧ 32
• • Central or mixed types of sleep apnea
• • A history of malignancy or infection of the head and neck region and laryngeal trauma
• • Craniofacial malformation
• • Stroke
• • Neuromuscular disease
• • Severe cardiovascular disease
• • Active psychiatric disease
• • Structural abnormalities over the upper respiratory airway
• • Performed any operation or treatment over the neck before
• • Pregnancy