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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...
Autores principales: | Pépin, Jean-Louis, Letesson, Clément, Le-Dong, Nhat Nam, Dedave, Antoine, Denison, Stéphane, Cuthbert, Valérie, Martinot, Jean-Benoît, Gozal, David |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
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Materias: | |
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 |
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