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Cited by 429

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine

Open access
Gatouillat, Arthur, Badr, Youakim, Massot, Bertrand, Sejdic, Ervin·2018·IEEE Internet of Things Journal

Abstract

The Internet of Medical Things (IoMT) designates the interconnection of communication-enabled medical-grade devices and their integration to wider-scale health networks in order to improve patients' health. However, because of the critical nature of health-related systems, the IoMT still faces numerous challenges, more particularly in terms of reliability, safety, and security. In this paper, we present a comprehensive literature review of recent contributions focused on improving the IoMT through the use of formal methodologies provided by the cyber-physical systems community. We describe the practical application of the democratization of medical devices for both patients and health-care providers. We also identify unexplored research directions and potential trends to solve uncharted research problems.

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Crossref · 10.1109/jiot.2018.2849014

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Metadata

Authors
Gatouillat, A., Badr, Y., Massot, B., & Sejdic, E.
Venue
IEEE Internet of Things Journal
Published
2018-10
Volume
5
Issue
5
Pages
3810-3822
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W2809674292
Cited by
429
References
62
FWCI
57.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine. https://app.cochat.ai/papers/10.1109/jiot.2018.2849014
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Gatouillat, A., Badr, Y., Massot, B., & Sejdic, E. (2018). Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2849014

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.