10 citations · 12 across the 4 of their papers we have counts for
3 papers · 1 filter
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
Antoine Guillot, Fabien Sauvet, Emmanuel H During +1
Sleep stage classification constitutes an important element of sleep disorder diagnosis. It relies on the visual inspection of polysomnography records by trained sleep technologist…
AI vs Humans for the diagnosis of sleep apnea
Valentin Thorey, Albert Bou Hernandez, Pierrick J. Arnal +1
Polysomnography (PSG) is the gold standard for diagnosing sleep obstructive apnea (OSA). It allows monitoring of breathing events throughout the night. The detection of these event…
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram
Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey +3
Much attention has been given to automatic sleep staging algorithms in past years, but the detection of discrete events in sleep studies is also crucial for precise characterizatio…