We have located links that may give you full text access.
Cloud Algorithm-Driven Oximetry-Based Diagnosis of Obstructive Sleep Apnea in Symptomatic Habitually-Snoring Children.
European Respiratory Journal 2018 November 29
The ability of a cloud-driven Bluetooth oximetry-based algorithm to diagnose obstructive sleep apnea (OSA) was examined in habitually snoring children concurrently undergoing overnight polysomnography. Children clinically referred for overnight in-laboratory polysomnographic evaluation for suspected OSAS were simultaneously hooked with a Bluetooth oximeter linked to a smartphone. PSG findings were scored and the apnea hypopnea index (AHIPSG ) was tabulated while oximetry data yielded an estimated AHIOXI using a validated algorithm. The accuracy of the oximeter in identifying correctly patients with OSAS in general, or with mild (AHI1-5 events·h-1 ), moderate (5-10 events·h-1 ) or severe OSAS (>10 events·h-1 ) was examined in 432 subjects (6.5±3.2 years) with 343 having AHIPSG >1 event·h-1 The accuracies of AHIOXI were consistently >79% for all levels of OSAS severity, and specificity was particularly favorable for AHI≥10 events·h-1 (92.7%). Using the criterion of AHIPSG >1 event·h-1 , only 4.7% of false negative cases emerged, from which only 0.6% of cases showed moderate or severe OSAS. Overnight oximetry processed via Bluetooth technology by a cloud-based machine learning-derived algorithm can reliably diagnose OSAS in children with clinical symptoms suggestive of the disease. This approach provides virtually limitless scalability and should alleviate the substantial difficulties in accessing pediatric sleep laboratories while markedly reducing the costs of OSAS diagnosis.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app