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

Given the high prevalence of obstructive sleep apnea (OSA), there is a need for simpler and automated diagnostic approaches. The objective of the article is to evaluate whether mandibular movement (MM) monitoring during sleep coupled with an automated analysis by machine learning is appropriate for OSA diagnosis.