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Improved automatic identification of isolated rapid eye movement sleep behavior disorder with a 3D time-of-flight camera.
Cesari, Matteo; Ruzicka, Laurenz; Högl, Birgit; Ibrahim, Abubaker; Holzknecht, Evi; Heidbreder, Anna; Bergmann, Melanie; Brandauer, Elisabeth; Garn, Heinrich; Kohn, Bernhard; Stefani, Ambra.
Affiliation
  • Cesari M; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Ruzicka L; Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Högl B; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Ibrahim A; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Holzknecht E; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Heidbreder A; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Bergmann M; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Brandauer E; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Garn H; Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Kohn B; Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
  • Stefani A; Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Eur J Neurol ; 30(8): 2206-2214, 2023 08.
Article in En | MEDLINE | ID: mdl-37151137
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: REM Sleep Behavior Disorder Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Austria Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: REM Sleep Behavior Disorder Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2023 Document type: Article Affiliation country: Austria Country of publication: United kingdom