Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms

8 October 2018

Papers citing "Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms"

7 / 7 papers shown

Title
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring Jeroen Van Der Donckt Jonas Van Der Donckt Emiel Deprost N. Vandenbussche Michael Rademaker Gilles Vandewiele Sofie Van Hoecke 24 35 0 15 Jul 2022
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 24 79 0 24 Aug 2021
MSED: a multi-modal sleep event detection model for clinical sleep analysis Alexander Neergaard Zahid P. Jennum Emmanuel Mignot H. Sørensen 35 10 0 07 Jan 2021
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning Huy P Phan Oliver Y. Chén P. Koch Zongqing Lu Ian Mcloughlin Alfred Mertins M. D. Vos 29 116 0 30 Jul 2019
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram A. N. Olesen Stanislas Chambon Valentin Thorey P. Jennum Emmanuel Mignot H. Sørensen 26 7 0 16 May 2019
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness A. Brink-Kjaer A. N. Olesen P. Peppard K. Stone P. Jennum Emmanuel Mignot H. Sørensen 22 16 0 15 Mar 2019
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal Stanislas Chambon Valentin Thorey P. Arnal Emmanuel Mignot Alexandre Gramfort 32 59 0 07 Dec 2018