Artificial Intelligence Analysis of Mandibular Movements Enables Accurate Detection of Phasic Sleep Bruxism in OSA Patients: A Pilot Study

por Martinot, Jean-Benoit, Le-Dong, Nhat-Nam, Cuthbert, Valérie, Denison, Stéphane, Gozal, David, Lavigne, Gilles, Pépin, Jean-Louis
Publicado 2021

Machine Learning–based Sleep Staging in Patients with Sleep Apnea Using a Single Mandibular Movement Signal

por Le-Dong, Nhat-Nam, Martinot, Jean-Benoit, Coumans, Nathalie, Cuthbert, Valérie, Tamisier, Renaud, Bailly, Sébastien, Pépin, Jean-Louis
Publicado 2021

Mandibular Movements are a Reliable Noninvasive Alternative to Esophageal Pressure for Measuring Respiratory Effort in Patients with Sleep Apnea Syndrome

por Pepin, Jean-Louis, Le-Dong, Nhat-Nam, Cuthbert, Valérie, Coumans, Nathalie, Tamisier, Renaud, Malhotra, Atul, Martinot, Jean-Benoit
Publicado 2022

Respiratory Mandibular Movement Signals Reliably Identify Obstructive Hypopnea Events During Sleep

por Martinot, Jean-Benoit, Le-Dong, Nhat-Nam, Cuthbert, Valerie, Denison, Stephane, Borel, Jean C., Gozal, David, Pépin, Jean L.
Publicado 2019

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

por Pépin, Jean-Louis, Letesson, Clément, Le-Dong, Nhat Nam, Dedave, Antoine, Denison, Stéphane, Cuthbert, Valérie, Martinot, Jean-Benoît, Gozal, David
Publicado 2020

Monitoring mandibular movements to detect Cheyne-Stokes Breathing

por Martinot, Jean-Benoît, Borel, Jean-Christian, Le-Dong, Nhat-Nam, Guénard, Hervé Jean-Pierre, Cuthbert, Valerie, Silkoff, Philip E., Gozal, David, Pepin, Jean-Louis
Publicado 2017

Mandibular Movements As Accurate Reporters of Respiratory Effort during Sleep: Validation against Diaphragmatic Electromyography

por Martinot, Jean-Benoît, Le-Dong, Nhat-Nam, Cuthbert, Valerie, Denison, Stephane, Silkoff, Philip E., Guénard, Hervé, Gozal, David, Pepin, Jean-Louis, Borel, Jean-Christian
Publicado 2017