Updating Deep Learning Algorithms for OSA Monitoring
Deep Learning Algorithm Update Using Real Patients for Out-of-hospital Obstructive Sleep Apnea Monitoring
Sky Labs
107 participants
Oct 19, 2022
INTERVENTIONAL
Conditions
Summary
The objective is to enhance the reliability of the algorithm to match that of Level 1 polysomnography by leveraging the diverse data obtained from Level 1 polysomnography to refine the deep learning algorithm.
Eligibility
Inclusion Criteria3
- 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 Criteria4
- 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)
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Interventions
CART-I PLUS collects signals in two ways: ECG: Utilizes the metal on the inner and outer sides as electrodes to detect subtle electrical changes resulting from the contraction and relaxation of the heart muscle. PPG: Emits LED light into the blood vessels inside the finger and collects the signal reflected by the blood flow, thereby gathering data on the pulse and functional oxygen saturation (SpO2) of arterial hemoglobin. In this clinical trial, PPG signals will be continuously collected during the polysomnography using the PPG method.
In polysomnography, the following data are collected: Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyogram (EMG), Electrooculogram (EOG), Oxygen Saturation (SpO2) Respiratory Analysis, Body Position Monitoring
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06522815