This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1408) New Methods (945) Imaging Informatics (194) Machine Learning (1466) Sleep Apnea (26)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17252, first published .
Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study

Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study

Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study

Authors of this article:

Sina Akbarian1, 2, 3 Author Orcid Image ;   Nasim Montazeri Ghahjaverestan1, 2 Author Orcid Image ;   Azadeh Yadollahi1, 2 Author Orcid Image ;   Babak Taati1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (16) Tweetations (23) Metrics

Sina Akbarian   1, 2, 3 , MASc ;   Nasim Montazeri Ghahjaverestan   1, 2 , PhD ;   Azadeh Yadollahi   1, 2 , PhD ;   Babak Taati   1, 2, 3, 4 , PhD

1 Kite Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada

2 Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada

3 Vector Institute, Toronto, ON, Canada

4 Department of Computer Science, University of Toronto, Toronto, ON, Canada

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