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2019
Conference Paper
Titel

Health@Hand - A Visual Interface for eHealth Monitoring

Abstract
The digitization within the healthcare sector is an extensive topic for multiple ICT technologies, such as Cloud Computing, Internet of Things (IoT), and Artificial Intelligence. Over the past years, there has been an increasing interest in the storage, evaluation and visual representation of medical data. This led to a substantial amount of independent eHealth technologies, that are primarily concerned with information gathering and management. However, the multitude of existing tools makes it is difficult for the user to understand global relationships between different management systems. Therefore, we present Health@Hand an IoT system for monitoring vital and administrative data in the digital twin of an intensive care unit (ICU). The main goal of our system is to summarize and process real-time data in order to assist medical experts such as physician, head-nurses or controllers in their daily tasks. Health@Hand achieves this by providing a visual interface for the management and analysis of different medical data sources.
Author(s)
Nonnemann, Lars
Univ. Rostock
Haescher, Marian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Aehnelt, Mario
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Bieber, Gerald
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Diener, Holger
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Urban, Bodo
Univ. Rostock
Hauptwerk
IEEE Symposium on Computers and Communications, ISCC 2019
Konferenz
Symposium on Computers and Communications (ISCC) 2019
International Workshop on ICT Solutions for Health (ICTS4eHealth) 2019
International Workshop on Machine Learning for Wireless Communications (MLWCOM) 2019
DOI
10.1109/ISCC47284.2019.8969647
File(s)
N-577888.pdf (3.31 MB)
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • assistive technologies

  • E-health

  • graphical user interfaces (GUI)

  • Internet of Things (IoT)

  • monitoring

  • Multi sensor analysis

  • visual information management

  • wearable computing

  • Lead Topic: Digitized Work

  • Research Line: Modeling (MOD)

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