Automatic sleep staging using ear-EEG von Mikkelsen, Kaare B, Villadsen, David Bové, Otto, Marit, Kidmose, Preben

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Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study von Sterr, Annette, Ebajemito, James K, Mikkelsen, Kaare B, Bonmati-Carrion, Maria A, Santhi, Nayantara, Della Monica, Ciro, Grainger, Lucinda, Atzori, Giuseppe, Revell, Victoria, Debener, Stefan, Dijk, Derk-Jan, DeVos, Maarten

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At-home sleep monitoring using generic ear-EEG von Tabar, Yousef R, Mikkelsen, Kaare B, Shenton, Nelly, Kappel, Simon L, Bertelsen, Astrid R, Nikbakht, Reza, Toft, Hans O, Henriksen, Chris H, Hemmsen, Martin C, Rank, Mike L, Otto, Marit, Kidmose, Preben

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On the Keyhole Hypothesis: High Mutual Information between Ear and Scalp EEG von Mikkelsen, Kaare B, Kidmose, Preben, Hansen, Lars K

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Threshold Games and Cooperation on Multiplayer Graphs von Mikkelsen, Kaare B, Bach, Lars A

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Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy von Gangstad, Sirin W, Mikkelsen, Kaare B, Kidmose, Preben, Tabar, Yousef R, Weisdorf, Sigge, Lauritzen, Maja H, Hemmsen, Martin C, Hansen, Lars K, Kjaer, Troels W, Duun-Henriksen, Jonas

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EEGs Vary Less Between Lab and Home Locations Than They Do Between People von Mikkelsen, Kaare B, Tabar, Yousef R, Christensen, Christian B, Kidmose, Preben

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Correction: Threshold Games and Cooperation on Multiplayer Graphs von Mikkelsen, Kaare B, Bach, Lars A

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Common sleep data pipeline for combined data sets von Strøm, Jesper, Engholm, Andreas Larsen, Lorenzen, Kristian Peter, Mikkelsen, Kaare B

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Accurate whole-night sleep monitoring with dry-contact ear-EEG von Mikkelsen, Kaare B., Tabar, Yousef R., Kappel, Simon L., Christensen, Christian B., Toft, Hans O., Hemmsen, Martin C., Rank, Mike L., Otto, Marit, Kidmose, Preben

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EEG Recorded from the Ear: Characterizing the Ear-EEG Method von Mikkelsen, Kaare B, Kappel, Simon L, Mandic, Danilo P, Kidmose, Preben

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Machine‐learning‐derived sleep–wake staging from around‐the‐ear electroencephalogram outperforms manual scoring and actigraphy von Mikkelsen, Kaare B., Ebajemito, James K., Bonmati‐Carrion, Maria A., Santhi, Nayantara, Revell, Victoria L., Atzori, Giuseppe, della Monica, Ciro, Debener, Stefan, Dijk, Derk‐Jan, Sterr, Annette, Vos, Maarten

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Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG von Lorenzen, Kristian P., Heremans, Elisabeth R. M., de Vos, Maarten, Mikkelsen, Kaare B.

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Investigation of low dimensional feature spaces for automatic sleep staging von Tabar, Yousef Rezaei, Mikkelsen, Kaare B., Rank, Mike Lind, Hemmsen, Martin Christian, Kidmose, Preben

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L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging von Phan, Huy, Lorenzen, Kristian P., Heremans, Elisabeth, Chen, Oliver Y., Tran, Minh C., Koch, Philipp, Mertins, Alfred, Baumert, Mathias, Mikkelsen, Kaare B., De Vos, Maarten

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Ear-EEG for sleep assessment: a comparison with actigraphy and PSG von Tabar, Yousef Rezaei, Mikkelsen, Kaare B., Rank, Mike Lind, Hemmsen, Martin Christian, Otto, Marit, Kidmose, Preben

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Sampling rate dependence of correlation at long time lags in BOLD fMRI measurements on humans and gel phantoms von Mikkelsen, Kaare B, Lund, Torben E

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Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG von Lorenzen, Kristian P, Heremans, Elisabeth R.M, de Vos, Maarten, Mikkelsen, Kaare B

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L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging von Phan, Huy, Lorenzen, Kristian P, Heremans, Elisabeth, Chen, Oliver Y, Tran, Minh C, Koch, Philipp, Mertins, Alfred, Baumert, Mathias, Mikkelsen, Kaare B, De Vos, Maarten

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Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy von Mikkelsen, Kaare B, Ebajemito, James K, Bonmati-Carrion, Maria A, Santhi, Nayantara, Revell, Victoria L, Atzori, Giuseppe, della Monica, Ciro, Debener, Stefan, Dijk, Derk-Jan, Sterr, Annette, de Vos, Maarten

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