The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions
Abstract
Internet of Things has been one of the catalysts in revolutionizing conventional healthcare services. With the growing society, traditional healthcare systems reach their capacity in providing sufficient and high-quality services. The world is facing the aging population and the inherent need for assisted-living environments for senior citizens. There is also a commitment by national healthcare organizations to increase support for personalized, integrated care to prevent and manage chronic conditions. Many applications related to In-Home Health Monitoring have been introduced over the last few decades, thanks to the advances in mobile and Internet of Things technologies and services. Such advances include improvements in optimized network architecture, indoor networks coverage, increased device reliability and performance, ultra-low device cost, low device power consumption, and improved device and network security and privacy. Current studies of in-home health monitoring systems presented many benefits including improved safety, quality of life and reduction in hospitalization and cost. However, many challenges of such a paradigm shift still exist, that need to be addressed to support scale-up and wide uptake of such systems, including technology acceptance and adoption by patients, healthcare providers and policymakers. The aim of this paper is three folds: First, review of key factors that drove the adoption and growth of the IoT-based in-home remote monitoring; Second, present the latest advances of IoT based in-home remote monitoring system architecture and key building blocks; Third, discuss future outlook and our recommendations of the in-home remote monitoring applications going forward.
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Cites
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Cited by
Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing
Li, C., Dong, M., Xin, X., Li, J., Chen, X.-B., & Ota, K. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3296595 · Cited by 118
Artificial intelligence in diabetes management
Thomas, A., Gopi, V. P., & Francis, B. (2024) · Advances in Artificial Intelligence · doi:10.1016/b978-0-443-19073-5.00002-1 · Cited by 3
Metadata
- Authors
- Philip, N. Y., Rodrigues, J. J. P. C., Wang, H., Fong, S. J., & Chen, J.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2021-02
- Volume
- 39
- Issue
- 2
- Pages
- 300-310
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W3124636507
- Cited by
- 319
- References
- 35
- FWCI
- 43.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Philip, N. Y., Rodrigues, J. J. P. C., Wang, H., Fong, S. J., & Chen, J. (2021). Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2020.3042421
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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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