The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Enabling Technologies for the Internet of Health Things
Open accessAbstract
The Internet of Things (IoT) is one of the most promising technologies for the near future. Healthcare and well-being will receive great benefits with the evolution of this technology. This paper presents a review of techniques based on IoT for healthcare and ambient-assisted living, defined as the Internet of Health Things (IoHT), based on the most recent publications and products available in the market from industry for this segment. Also, this paper identifies the technological advances made so far, analyzing the challenges to be overcome and provides an approach of future trends. Through selected works, it is possible to notice that further studies are important to improve current techniques and that novel concept and technologies of IoHT are needed to overcome the identified challenges. The presented results aim to serve as a source of information for healthcare providers, researchers, technology specialists, and the general population to improve the IoHT.
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
An IoT-Aware Architecture for Smart Healthcare Systems
Catarinucci, L., de Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., & Tarricone, L. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2417684 · Cited by 1,167
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“[59] published a review of all randomized clinical trials reporting the effects of psychological interventions delivered via smartphone on symptoms of anxiety (sub-clinical or diagnosed anxiety disorders), observing, among others, a significantly greater reduction in total anxi-”
BackgroundPasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2461555 · Cited by 323
User Verification Leveraging Gait Recognition for Smartphone Enabled Mobile Healthcare Systems
Ren, Y., Chen, Y., Chuah, M. C., & Yang, J. (2015) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2014.2365185 · Cited by 123 · cited 1×
“[48] also proposed a user verification system leveraging unique gait patterns derived from acceleration readings (embedded within smartphones) to detect possible user spoofing in m-healthcare systems.”
BackgroundSmartphones in Mental Health: Detecting Depressive and Manic Episodes
Osmani, V. (2015) · IEEE Pervasive Computing · doi:10.1109/mprv.2015.54 · Cited by 82
Cited by
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020) · IEEE Access · doi:10.1109/access.2020.2992341 · Cited by 1,099
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R. (2018) · Sensors · doi:10.3390/s18061894 · Cited by 292
A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT)
Papaioannou, M., Karageorgou, M., Mantas, G., Sucasas, V., Essop, I., Rodriguez, J., & Lymberopoulos, D. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4049 · Cited by 245
Kumar, M., Kumar, A., Verma, S., Bhattacharya, P., Ghimire, D., Kim, S.-H., & Hosen, A. S. M. S. (2023) · Electronics · doi:10.3390/electronics12092050 · Cited by 199
Kumar, R., & Tripathi, R. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-020-03570-x · Cited by 177
Metadata
- Authors
- Rodrigues, J. J. P. C., De Rezende Segundo, D. B., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., & De Albuquerque, V. H. C.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 13129-13141
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2782169620
- Cited by
- 413
- References
- 6
- FWCI
- 84.36
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rodrigues, J. J. P. C., De Rezende Segundo, D. B., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., & De Albuquerque, V. H. C. (2018). Enabling Technologies for the Internet of Health Things. IEEE Access. https://doi.org/10.1109/access.2017.2789329
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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