Improving deep learning algorithms for monitoring sleep apnea
Deep Learning Algorithm Update Using Real Patients for Out-of-hospital Obstructive Sleep Apnea Monitoring
This study is testing a new way to use advanced computer technology to better monitor sleep apnea in patients by analyzing data collected during their sleep tests.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 107 (estimated) |
| Ages | 19 Years and up |
| Sex | Female |
| Sponsor | Sky Labs Industry-sponsored |
| Drugs / interventions | CART |
| Locations | 1 site (Seoul) |
| Trial ID | NCT06522815 on ClinicalTrials.gov |
What this trial studies
This study aims to enhance the accuracy of a deep learning algorithm for monitoring obstructive sleep apnea (OSA) by utilizing data from Level 1 polysomnography. Patients undergoing this polysomnography will use the CART-I PLUS device to collect comprehensive data, including photoplethysmography (PPG) signals. The collected data will be analyzed to classify segments into apnea, hypopnea, or normal states using advanced machine learning techniques such as convolutional and recurrent neural networks. Participants will be divided into training and validation sets to evaluate the algorithm's performance.
Who should consider this trial
Good fit: Ideal candidates are adults aged 19 years or older scheduled for Level 1 polysomnography at a sleep center.
Not a fit: Patients under 19 years of age or those unable to provide normal signals during testing may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more reliable and accessible monitoring of obstructive sleep apnea, improving patient outcomes.
How similar studies have performed: Other studies utilizing deep learning for sleep apnea monitoring have shown promise, indicating potential for success in this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients scheduled for Level 1 polysomnography at a sleep center who meet all of the following criteria: * Aged 19 years or older * Have listened to and understood a thorough explanation of the clinical study and voluntarily agreed to participate Exclusion Criteria: * Under 19 years of age * Unable to collect normal signals during the pre-test or wearing of the CART-I PLUS device * Refuse to participate in the clinical study * Have cognitive impairments to the extent that they cannot understand the explanation of the clinical study and therefore cannot make a voluntary decision to participate (e.g., legally incompetent individuals)
Where this trial is running
Seoul
- Gangnam Severance Hospital — Seoul, South Korea (Recruiting)
Study contacts
- Principal investigator: Won Joo Kim, MD, PhD — Gangnam Severance Hospital
- Study coordinator: Gerrard Kim
- Email: gerrard.kim@skylabs.io
- Phone: 1599-7149
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.