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Authors: Amine Rghioui 1 ; Loubna Berrich 1 ; Jaime Lloret 2 and Abdelmajid Oumnad 1

Affiliations: 1 Research Team in Smart Communication-ERSC-Research Centre E3S, EMI, Mohamed V University in Rabat, 10000, Morocco ; 2 Integrated Management Coastal Research Institute, Universitat Politecnica de Valencia, 46370 Valencia, Spain

Keyword(s): Healthcare, RFID, Artificial Intelligence, Machine Learning, Diabetic Patient.

Abstract: RFID Radio Frequency Identification is a method of remotely memorizing and retrieving data. The system is activated by a transfer of electromagnetic energy between a radio tag and an RFID transmitter. The radio tag, made up of an electronic chip and an antenna, receives the radio signal emitted by the reader, also equipped with RFID technology. This technology is useful in a wide variety of processes. The uses that can be attributed to it are many and varied as well as the sectors where it can be applied. In this paper we will study the use of RFID in the healthcare sector. Wireless technology is evolving more and more in the world of healthcare applications among these technologies we find the Internet of Things, sensor networks, RFID technologies. Radiofrequency identification (RFID) technology is a new technology that improves the quality of life of patients and offers several technological solutions and involves several fields application, we find the field of healthcare with the ability to track or locate equipment and people in real-time, and also provides efficient access to medical data for physicians and other medical professionals. The use of RFID technology in healthcare has become more popular due to its unique characteristics compared to other technologies. In this article, we discuss the state of the art and the relationship between RFID technology and the Internet of Things. after that, we introduce healthcare system monitoring using RFID technology. Finally, we offer our RFID body sensor tag design suggestion we present an RFID antenna used for healthcare application; we made many simulations in order to get an idea about the behaviour of the antenna with the patient. (More)

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Paper citation in several formats:
Rghioui, A.; Berrich, L.; Lloret, J. and Oumnad, A. (2021). Design of a Tag Antenna for IoT Applications in the Healthcare Field. In Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems - WINSYS; ISBN 978-989-758-529-6; ISSN 2184-948X, SciTePress, pages 91-98. DOI: 10.5220/0010583300910098

@conference{winsys21,
author={Amine Rghioui. and Loubna Berrich. and Jaime Lloret. and Abdelmajid Oumnad.},
title={Design of a Tag Antenna for IoT Applications in the Healthcare Field},
booktitle={Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems - WINSYS},
year={2021},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010583300910098},
isbn={978-989-758-529-6},
issn={2184-948X},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems - WINSYS
TI - Design of a Tag Antenna for IoT Applications in the Healthcare Field
SN - 978-989-758-529-6
IS - 2184-948X
AU - Rghioui, A.
AU - Berrich, L.
AU - Lloret, J.
AU - Oumnad, A.
PY - 2021
SP - 91
EP - 98
DO - 10.5220/0010583300910098
PB - SciTePress