Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study
BackgroundSleep apnea is a respiratory disorder characterized by an intermittent reduction (hypopnea) or cessation (apnea) of breathing during sleep. Depending on the presence of a breathing effort, sleep apnea is divided into obstructive sleep apnea (OSA) and central sleep apnea (CSA) based on the...
Saved in:
Main Authors: | Akbarian, Sina (Author), Montazeri Ghahjaverestan, Nasim (Author), Yadollahi, Azadeh (Author), Taati, Babak (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Noncontact Sleep Monitoring With Infrared Video Data to Estimate Sleep Apnea Severity and Distinguish Between Positional and Nonpositional Sleep Apnea: Model Development and Experimental Validation
by: Sina Akbarian, et al.
Published: (2021) -
Obstructive Sleep Apnea
by: R. Rashed, et al.
Published: (2006) -
Obstructive sleep apnea
by: Joseph Arnold, et al.
Published: (2017) -
Obstructive sleep apnea
by: Steven D. Brass, et al.
Published: (2011) -
A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment
by: Xude Huang, et al.
Published: (2023)