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The Internet of Things for Health Care: A Comprehensive Survey

Open access
Riazul Islam, S. M., Daehan Kwak, Humaun Kabir, Md, Hossain, Mahmud, Kyung-Sup Kwak·2015·IEEE Access

Abstract

The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk; discusses how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context; addresses various IoT and eHealth policies and regulations across the world to determine how they can facilitate economies and societies in terms of sustainable development; and provides some avenues for future research on IoT-based health care based on a set of open issues and challenges.

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Metadata

Authors
Riazul Islam, S. M., Kwak, D., Humaun Kabir, M., Hossain, M., & Kwak, K.-S.
Venue
IEEE Access
Published
2015
Volume
3
Pages
678-708
ISSN
2169-3536 (ISSN-L)
OpenAlex
W1943579973
Cited by
3,095
References
4
FWCI
569.40
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Internet of Things for Health Care: A Comprehensive Survey. https://app.cochat.ai/papers/10.1109/access.2015.2437951
The paper
Riazul Islam, S. M., Kwak, D., Humaun Kabir, M., Hossain, M., & Kwak, K.-S. (2015). The Internet of Things for Health Care: A Comprehensive Survey. IEEE Access. https://doi.org/10.1109/access.2015.2437951

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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.