The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
Open accessAbstract
IoT has played an essential role in many industries over the last few decades. Recent advancements in the healthcare industry have made it possible to make healthcare accessible to more people and improve their overall health. The next step in healthcare is to integrate it with IoT-assisted wearable sensor systems seamlessly. This review rigorously discusses the various IoT architectures, different methods of data processing, transfer, and computing paradigms. It compiles various communication technologies and the devices commonly used in IoT-assisted wearable sensor systems and deals with its various applications in healthcare and their advantages to the world. A comparative analysis of all the wearable technology in healthcare is also discussed with tabulation of various research and technology. This review also analyses all the problems commonly faced in IoT-assisted wearable sensor systems and the specific issues that need to be tackled to optimize these systems in healthcare and describes the various future implementations that can be made to the architecture and the technology to improve the healthcare industry.
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1 retracted
Fog Computing-based Internet of Things and its Applications in Healthcare
Bansal, M., & Sirpal, V. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1916/1/012041 · Cited by 9
RetractedLiberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828
New directions in cryptography
Diffie, W., & Hellman, M. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055638 · Cited by 14,713
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
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
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.036 · Cited by 983
Development of Smart Healthcare Monitoring System in IoT Environment
Islam, M. M., Rahaman, A., & Islam, M. R. (2020) · SN Computer Science · doi:10.1007/s42979-020-00195-y · Cited by 592
Wearable and implantable wireless sensor network solutions for healthcare monitoring
Darwish, A., & Hassanien, A. E. (2011) · Sensors · doi:10.3390/s110605561 · Cited by 556
Cited by
Ahmad, S., Shakeel, I., Mehfuz, S., & Ahmad, J. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100568 · Cited by 197
Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration
Taherdoost, H. (2024) · Computers, Materials & Continua · doi:10.32604/cmc.2024.054378 · Cited by 47
Boussi Rahmouni, H., Hassine, N. B. E. H., Chouchen, M., Ceylan, H. İ., Muntean, R. I., Bragazzi, N. L., & Dergaa, I. (2025) · Healthcare · doi:10.3390/healthcare13202553 · Cited by 25
Wang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors · doi:10.3390/s23052465 · Cited by 18
Metadata
- Authors
- Mamdiwar, S. D., R, A., Shakruwala, Z., Chadha, U., Srinivasan, K., & Chang, C.-Y.
- Venue
- Biosensors
- Publisher
- MDPI AG
- Published
- 2021-10-04
- Volume
- 11
- Issue
- 10
- Pages
- 372
- ISSN
- 2079-6374 (ISSN-L)
- OpenAlex
- W3203348450
- Cited by
- 258
- References
- 75
- FWCI
- 31.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mamdiwar, S. D., R, A., Shakruwala, Z., Chadha, U., Srinivasan, K., & Chang, C.-Y. (2021). Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring. Biosensors. https://doi.org/10.3390/bios11100372
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