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

Oncology/Hematology

Journal: American journal of respiratory and critical care medicine

Published Date: Nov 15, 2021

Abstract

No abstract available for this article.

Authors

Nhat-Nam Le-Dong

Sunrise Namur, Belgium.
Jean-Benoit Martinot

Centre Hospitalier Universitaire - Université Catholique de Louvain Namur Site Sainte-Elisabeth Namur, Belgium.
Nathalie Coumans

Centre Hospitalier Universitaire - Université Catholique de Louvain Namur Site Sainte-Elisabeth Namur, Belgium.
Valérie Cuthbert

Centre Hospitalier Universitaire - Université Catholique de Louvain Namur Site Sainte-Elisabeth Namur, Belgium.
Renaud Tamisier

University Grenoble Alpes Grenoble, France.
Sébastien Bailly

HP2 laboratory, University of Grenoble Alpes, Grenoble, France.
Jean-Louis Pépin

University Grenoble Alpes Grenoble, France.

Keywords

Adult Algorithms Female Humans Machine Learning Male Mandible Middle Aged Pattern Recognition, Automated Polysomnography Prospective Studies Sensitivity and Specificity Sleep Apnea Syndromes Sleep Stages

External Resources

View on PubMed Access via DOI PubMed (34297641)

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