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Andreas Brink-Kjaer

Showing results (1-10 of 24) with videos related to

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Sleep|June 27, 2025
An important step toward automation of polysomnography analysesMatteo Cesari, Andreas Brink-Kjaer, Irene Rechichi
Sleep Medicine|March 31, 2026
Classification of narcolepsy type 1 using machine learning on Stanford Cataplexy Questionnaire responses and HLA-DQB1∗06:02Giorgio Ricciardiello Mejia, Andreas Brink-Kjaer, Emmanuel Mignot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Modeling Spatial Synchronization of Sleep for Detection of Idiopathic REM Sleep Behavior DisorderNatasja P Andersen, Poul J Jennum, Emmanuel Mignot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using AccelerometersNiels R Lorenzen, Poul J Jennum, Emmanuel Mignot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Age with Deep Neural Networks from PolysomnogramsAndreas Brink-Kjaer, Emmanuel Mignot, Helge B D Sorensen, et al.
Diagnostics (Basel, Switzerland)|April 14, 2026
Comparison of EMG, Video, and Actigraphy Signals for Detecting Motor Activity in REM Sleep Behavior DisorderKang Hyun Ryu, Giorgio Ricciardiello Mejia, Salonee Marwaha, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior DisorderAndreas Brink-Kjaer, Katarina Mary Gunter, Emmanuel Mignot, et al.
IEEE Journal of Biomedical and Health Informatics|July 4, 2023
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior DisorderKatarina Mary Gunter, Andreas Brink-Kjaer, Emmanuel Mignot, et al.
Sleep|November 29, 2020
Cortical arousal frequency is increased in narcolepsy type 1Andreas Brink-Kjaer, Julie A E Christensen, Matteo Cesari, et al.
Sleep|September 20, 2024
Mortality risk assessment using deep learning-based frequency analysis of electroencephalography and electrooculography in sleepTeitur Óli Kristjánsson, Katie L Stone, Helge B D Sorensen, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Sleep|June 27, 2025
An important step toward automation of polysomnography analysesMatteo Cesari, Andreas Brink-Kjaer, Irene Rechichi
Sleep Medicine|March 31, 2026
Classification of narcolepsy type 1 using machine learning on Stanford Cataplexy Questionnaire responses and HLA-DQB1∗06:02Giorgio Ricciardiello Mejia, Andreas Brink-Kjaer, Emmanuel Mignot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Modeling Spatial Synchronization of Sleep for Detection of Idiopathic REM Sleep Behavior DisorderNatasja P Andersen, Poul J Jennum, Emmanuel Mignot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using AccelerometersNiels R Lorenzen, Poul J Jennum, Emmanuel Mignot, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Age with Deep Neural Networks from PolysomnogramsAndreas Brink-Kjaer, Emmanuel Mignot, Helge B D Sorensen, et al.
Diagnostics (Basel, Switzerland)|April 14, 2026
Comparison of EMG, Video, and Actigraphy Signals for Detecting Motor Activity in REM Sleep Behavior DisorderKang Hyun Ryu, Giorgio Ricciardiello Mejia, Salonee Marwaha, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior DisorderAndreas Brink-Kjaer, Katarina Mary Gunter, Emmanuel Mignot, et al.
IEEE Journal of Biomedical and Health Informatics|July 4, 2023
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior DisorderKatarina Mary Gunter, Andreas Brink-Kjaer, Emmanuel Mignot, et al.
Sleep|November 29, 2020
Cortical arousal frequency is increased in narcolepsy type 1Andreas Brink-Kjaer, Julie A E Christensen, Matteo Cesari, et al.
Sleep|September 20, 2024
Mortality risk assessment using deep learning-based frequency analysis of electroencephalography and electrooculography in sleepTeitur Óli Kristjánsson, Katie L Stone, Helge B D Sorensen, et al.
Pageof 3