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Evaluation der KI-gestützten Arousal-Detektion auf der Basis von Schlaflabordaten im Vergleich zu öffentlichen Schlaflabordaten: Resultierende Empfehlungen für die Anwendung in der wissenschaftlichen Praxis

Research output: Contribution to conferences › Abstract › Contributed › peer-review

Contributors

Franz Ehrlich - , Institute for Medical Informatics and Biometry, Institute of Biomedical Engineering (Author)
Tony Sehr - , Department of Neurology (Author)
Moritz D Brandt - , Department of Neurology (Author)
Martin Schmidt - , Chair of Biomedical Engineering (Author)
Hagen Malberg - , Chair of Biomedical Engineering (Author)
Martin Sedlmayr - , Institute for Medical Informatics and Biometry (Author)
Miriam Goldammer - , Institute for Medical Informatics and Biometry (Author)

Details

Original language	German
Publication status	Published - 2024
Peer-reviewed	Yes

Conference

Title	32. Jahrestagung der Deutschen Gesellschaft für Schlafforschung und Schlafmedizin e.V.
Subtitle	Schlaf – Herausforderungen der Zeit
Conference number
Duration	14 - 16 November 2024
Location	Essen
City

External IDs

ORCID	/0000-0003-2126-290X/work/173516561
ORCID	/0000-0003-4012-0608/work/173516573
ORCID	/0000-0002-9888-8460/work/173517237

Keywords