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

Clinical Information and Decision Making (2142) New Methods (1201) Telehealth and Telemonitoring (2256) Tools, Programs and Algorithms (423) Insomnia and Sleep Hygiene (264) Machine Learning (2306) Sleep Monitoring, Sleep Quality, Sleep Disorders (289) Sleep Apnea (40)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26524, first published .
Man in hospital bed with oxygen nasal cannula and IV drip

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

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

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 (21) Tweetations (6) 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 and 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

*these authors contributed equally

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