Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33682
Title: Biosensing in the Internet of Medical Things: A System Architecture and Design-Oriented Survey
Authors: Otoom, Mwaffaq
Alzubaidi, Mohammad A.
Ghinea, Gheorghita
Al-Tahat, Shayma
Otoum, Nesreen
Keywords: Internet of Medical Things (IoMT);Biosensors;System Architecture;Edge Computing;Design-Oriented Survey;Healthcare IoT
Issue Date: 12-May-2026
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Otoom, M. et al. (2026) 'Biosensing in the Internet of Medical Things: A System Architecture and Design-Oriented Survey', 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA), Amman, Jordan, 12–14 May, pp. 1–7. doi: 10.1109/icciaa68481.2026.11543939.
Abstract: Diseases and healthcare concerns have become more prevalent in our society. As a result, more individuals are turning towards wearable technology as a way to keep track of their well-being. In addition, the introduction of the Internet of Medical Things will allow for continuous tracking of individuals’ health through a distributed network of devices.For engineers, the design of these networks must be done carefully in order to maximize their efficiency and effectiveness; however, engineers cannot focus solely on individual sensor technologies because they must consider all aspects of an IoMT ecosystem. This paper reviews biosensing systems used in the IoMT and provides an overview of how a wide variety of medical sensors can be integrated together for maximum effectiveness, illustrating how such systems can be organized into an entire ecosystem from the end-users’ perspective and how that broad Vision can be achieved through engineering design.This paper will help researchers and practitioners in the design and development of scalable, efficient and adaptable IoMT solutions. It will also help determine direction for future research into intelligent and sustainable biosensing systems.
URI: https://bura.brunel.ac.uk/handle/2438/33682
DOI: https://doi.org/10.1109/icciaa68481.2026.11543939
ISBN: 9798331556594
9798331556600
Appears in Collections:Department of Computer Science Research Papers

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