Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea

IMPORTANCE: Given the high prevalence of obstructive sleep apnea (OSA), there is a need for simpler and automated diagnostic approaches. OBJECTIVE: To evaluate whether mandibular movement (MM) monitoring during sleep coupled with an automated analysis by machine learning is appropriate for OSA diagn...

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Detalles Bibliográficos
Autores principales: Pépin, Jean-Louis, Letesson, Clément, Le-Dong, Nhat Nam, Dedave, Antoine, Denison, Stéphane, Cuthbert, Valérie, Martinot, Jean-Benoît, Gozal, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991283/
https://www.ncbi.nlm.nih.gov/pubmed/31968116
http://dx.doi.org/10.1001/jamanetworkopen.2019.19657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991283/
https://www.ncbi.nlm.nih.gov/pubmed/31968116
http://dx.doi.org/10.1001/jamanetworkopen.2019.19657

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