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Article type: Research Article
Authors: Yaraziz, Mahdi Safaeia; * | Sohrabi Safa, Naderb | Azad, Muhammad Ajmalc
Affiliations: [a] Department of Computing and Engineering, University of Huddersfield, Huddersfield, UK | [b] Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK | [c] Department of Computer Science and Digital Technology, Birmingham City University (BCU), Birmingham, UK
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: The rapid advances in the Internet of Things (IoT) and the increment of its users have opened a door to put into service IoT in healthcare, known as the Internet of Medical Things (IoMT), which consists of cloud, fog, and edge computing. IoMT has shown to be a flexible framework to remove traditional healthcare limits through utilizing technology/techniques and innovative digital devices to monitor patients’ conditions and to address medical service problems such as inaccuracy and long response time. It also could be helpful within critical and unexpected circumstances like epidemic diseases. Fortunately, some methods, including Edge Computing, were introduced to improve the healthcare system, make it more effective and solve problems. In this work, a Systematic Literature Review (SLR) was used to study Edge Computing solutions in healthcare, evaluate efficient therapeutic approaches, and demonstrate key factors that have not been considered in previous studies.
Keywords: Edge Computing, Smart Healthcare, Systematic Literature Review, Internet of Medical Things
DOI: 10.3233/AIS-230009
Journal: Journal of Ambient Intelligence and Smart Environments, vol. Pre-press, no. Pre-press, pp. 1-30, 2024
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