Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy JB Stephansen, AN Olesen, M Olsen, A Ambati, EB Leary, HE Moore, ... Nature communications 9 (1), 5229, 2018 | 335 | 2018 |
Robust, ECG-based detection of Sleep-disordered breathing in large population-based cohorts M Olsen, E Mignot, PJ Jennum, HBD Sorensen Sleep 43 (5), zsz276, 2020 | 27 | 2020 |
Automatic, electrocardiographic-based detection of autonomic arousals and their association with cortical arousals, leg movements, and respiratory events in sleep M Olsen, LD Schneider, J Cheung, PE Peppard, PJ Jennum, E Mignot, ... Sleep 41 (3), zsy006, 2018 | 26 | 2018 |
A flexible deep learning architecture for temporal sleep stage classification using accelerometry and photoplethysmography M Olsen, JM Zeitzer, RN Richardson, P Davidenko, PJ Jennum, ... IEEE Transactions on Biomedical Engineering 70 (1), 228-237, 2022 | 16 | 2022 |
A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies M Olsen, JM Zeitzer, RN Richardson, VH Musgrave, HBD Sørensen, ... IEEE Transactions on Biomedical Engineering, 2024 | 7 | 2024 |
1208 Sleep Stage Prediction And Sleep Disordered Breathing Detection Using Raw Actigraphy And Photoplethysmography From Wearable Consumer Device M Olsen, H Sorensen, P Jennum, E Mignot Sleep 43, A461-A462, 2020 | 4 | 2020 |
0451 fully automatic detection of sleep disordered breathing events J Thybo, AN Olesen, M Olsen, E Leary, P Arnal, HB Sørensen, P Jennum, ... Sleep, A172-A173, 2020 | 1 | 2020 |
Multiscale modeling of nocturnal polysomnography for improved detection of narcolepsy type 1 AN Zahid, M Olsen, R Retnam, L Lin, H Yan, C Zhao, B Tracey, DL Buhl, ... Sleep Medicine 115, S223, 2024 | | 2024 |