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Health@Hand - A Visual Interface for eHealth Monitoring

: Nonnemann, Lars; Haescher, Marian; Aehnelt, Mario; Bieber, Gerald; Diener, Holger; Urban, Bodo

Fulltext urn:nbn:de:0011-n-5778882 (3.3 MByte PDF)
MD5 Fingerprint: 39c7b7027268fe221da4e7aa3b18405d
Created on: 14.5.2020

Sahni, Sartai (General Co-Chair) ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Symposium on Computers and Communications, ISCC 2019 : 29 June-3 July 2019, Barcelona, Spain
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-2999-0
ISBN: 978-1-7281-3000-2
Symposium on Computers and Communications (ISCC) <2019, Barcelona>
International Workshop on ICT Solutions for Health (ICTS4eHealth) <4, 2019, Barcelona>
International Workshop on Machine Learning for Wireless Communications (MLWCOM) <2019, Barcelona>
Conference Paper, Electronic Publication
Fraunhofer IGD ()
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)

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.