Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Hjorth, Mads F. Chaput, Jean-Philippe Damsgaard, Camilla T. Dalskov, Stine-Mathilde Andersen, Rikke Astrup, Arne Michaelsen, Kim F. Tetens, Inge Ritz, Christian Sjodin, Anders
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Background: As cardio-metabolic risk tracks from childhood to adulthood, a better understanding of the relationship between movement behaviors (physical activity, sedentary behavior and sleep) and cardio-metabolic risk in childhood may aid in preventing metabolic syndrome (MetS) in adulthood. Objective: To examine independent and combined cross-sec...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Christensen, Julie Anja Engelhard Zoetmulder, Marielle Koch, Henriette Frandsen, Rune Arvastson, Lars Johan Christensen, Søren Ro Jennum, Poul Sørensen, Helge Bjarup Dissing
Background: Manual scoring of sleep relies on identifying certain characteristics in polysomnograph (PSG) signals. However, these characteristics are disrupted in patients with neurodegenerative diseases. New method: This study evaluates sleep using a topic modeling and unsupervised learning approach to identify sleep topics directly from electroen...
Hjorth, Mads F. Chaput, Jean-Philippe Damsgaard, Camilla T. Dalskov, Stine-Mathilde Andersen, Rikke Astrup, Arne Michaelsen, Kim F. Tetens, Inge Ritz, Christian Sjodin, Anders
...
Background: As cardio-metabolic risk tracks from childhood to adulthood, a better understanding of the relationship between movement behaviors (physical activity, sedentary behavior and sleep) and cardio-metabolic risk in childhood may aid in preventing metabolic syndrome (MetS) in adulthood. Objective: To examine independent and combined cross-sec...
Dauber, Andrew LaFranchi, Stephen H. Maliga, Zoltan Lui, Julian C. Moon, Jennifer E. McDeed, Cailin Henke, Katrin Zonana, Jonathan Kingman, Garrett A. Pers, Tune Hannes
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Context: Microcephalic primordial dwarfism (MPD) is a rare, severe form of human growth failure in which growth restriction is evident in utero and continues into postnatal life. Single causative gene defects have been identified in a number of patients with MPD, and all involve genes fundamental to cellular processes including centrosome functions...