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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949783711> ?p ?o ?g. }

• W2949783711 endingPage "e13041" @default.
• W2949783711 startingPage "e13041" @default.
• W2949783711 abstract "Background: Continuous patient monitoring has been described by the World Health Organization as extremely important and is widely used in anesthesia, intensive care medicine, and emergency medicine. However, current state-of-the-art number- and waveform-based monitoring does not ideally support human users in acquiring quick, confident interpretations with low cognitive effort, and there are additional problematic aspects such as alarm fatigue. We developed a visualization technology (Visual Patient), specifically designed to help caregivers gain situation awareness quickly, which presents vital sign information in the form of an animated avatar of the monitored patient. We suspected that because of the way it displays the information as large, colorful, moving graphic objects, caregivers might be able to perform patient monitoring using their peripheral vision, which may facilitate quicker detection of anomalies, independently of acoustic alarms." @default.
• W2949783711 created "2019-06-27" @default.
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• W2949783711 date "2019-07-17" @default.
• W2949783711 modified "2023-09-27" @default.
• W2949783711 title "Avatar-Based Patient Monitoring With Peripheral Vision: A Multicenter Comparative Eye-Tracking Study" @default.
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• W2949783711 doi "https://doi.org/10.2196/13041" @default.
• W2949783711 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6668297" @default.
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• W2949783711 hasPublicationYear "2019" @default.
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