The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
IoT Wearable Sensors and Devices in Elderly Care: A Literature Review
Open accessAbstract
The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer’s disease, frailty, Parkinson’s, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.
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Cites
A review of wearable sensors and systems with application in rehabilitation
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A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
Medical Internet of Things and Big Data in Healthcare
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A Survey of Wearable Devices and Challenges
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Role of Frailty in Patients With Cardiovascular Disease
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The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer’s disease.
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Cited by
Pérez-Rodríguez, R., Villalba-Mora, E., Valdés-Aragonés, M., Ferre, X., Moral, C., Mas-Romero, M., Abizanda-Soler, P., & Rodríguez-Mañas, L. (2021) · Sensors · doi:10.3390/s21196458 · Cited by 13
IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population
Ali, S. A., & Khan, R. (2023) · doi:10.20944/preprints202303.0088.v1 · Cited by 7
Metadata
- Authors
- Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2020-05-16
- Volume
- 20
- Issue
- 10
- Pages
- 2826
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W3025469716
- Cited by
- 348
- References
- 43
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- gold
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- Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT Wearable Sensors and Devices in Elderly Care: A Literature Review. Sensors. https://doi.org/10.3390/s20102826
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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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