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Internet of Things Solution for Non-invasive Vital Data Acquisition: A Step Towards Smart Healthcare System

Salem, Mahmoud; El-Maddah, Islam; Youssef, Khaled; Mohamed, Hoda

Abstract (englisch):
The advent and subsequent explosive growth of hi-tech medical industry is one of the main features of the modern era. It is driven by the legitimate plea to apply smart healthcare environment for a broad range of working systems, entailing hospitals, schools, workshops, etc. In particular, smart healthcare offers a unique opportunity to optimise the interaction between the human and the medical system (equipment/tools and doctors) for diagnosis, monitoring and treatment measures, which certainly will decrease infections and disease’s transmissions. However, developing a reliable Internet of Things solution, to facilitate a seamless and flawless data transmission among smart assets, is an indispensable task to fully implement. Accordingly, the motivation for this paper is to develop an IoT technique for a non-invasive healthcare system to enable vast collecting and analysis of human vital data via a computer vision technique in order to reduce infections. In particular, concurrent IoT communication was designed for a mesh of three nodes, entailing a sensing node for heartbeat measurement, a vital data visualising node and a broker node. ... mehr



Originalveröffentlichung
DOI: 10.1007/978-981-13-9271-9_32
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Proceedingsbeitrag
Jahr 2019
Sprache Englisch
Identifikator ISBN: 978-981-13-9270-2
ISSN: 2190-3018
KITopen-ID: 1000096474
HGF-Programm 43.22.03 (POF III, LK 01)
Erschienen in Sustainable Design and Manufacturing 2019 : Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19). Ed.: P. Ball
Verlag Springer Nature Singapore Pte Ltd., Singapore, SGP
Seiten 387–397
Serie Smart Innovation, Systems and Technologies ; 155
Vorab online veröffentlicht am 28.06.2019
Schlagworte Internet of Things (IoT), Data acquisition, Healthcare, Vital data analysis, Non-invasive sensing, Real-time monitoring
Nachgewiesen in Scopus
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