What is it about?
overnight oximetry signals transmitted via Bluetooth to a smartphone and processed in the cloud by a validated algorithm yield scalable diagnostic capability, and should enable objective clinical diagnosis of this prevalent disease in children.
Featured Image
Why is it important?
The scarcity sleep studies reduces access and restricts objective diagnosis of obstructive sleep apnea in children. Here, we show that overnight oximetry linked via Bluetooth to a smartphone and cloud algorithm provides scalable diagnostic capability.
Perspectives
We can now provide low cost and operator independent access to diagnosis of sleep apnea in children around the world, and therefore avoid either the unnecessary delays related to difficult access to sleep laboratories for children or the lack of such expertise altogether. This approach should lead to timely interventions and reduce the end-organ morbidities of sleep apnea in children.
David Gozal
University of Missouri System
Read the Original
This page is a summary of: Cloud algorithm-driven oximetry-based diagnosis of obstructive sleep apnoea in symptomatic habitually snoring children, European Respiratory Journal, February 2019, European Respiratory Society (ERS),
DOI: 10.1183/13993003.01788-2018.
You can read the full text:
Contributors
The following have contributed to this page
