Wireless sensor networks for healthcare: A survey
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Our research population's heterogeneity did not permit a thorough comparison with other studies in the literature as they involved more homogeneous samples.
“Our research population’s heterogeneity did not permit a thorough comparison with other studies in the literature as they involved more homogeneous samples [18-20].”
From Perceptions About Technologies That Help Community-Dwelling Older Adults Remain at Home: Qualitative Study (2020) · cites this paper as [20]
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- Authors
- Alemdar, H., & Ersoy, C.
- Affiliations
- Boğaziçi University (TR)
- Corresponding author
- Alemdar, Hande
- Ersoy, Cem
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 54
- Issue
- 15
- Pages
- 2688-2710
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2170577408
- Cited by
- 1,427
- References
- 134
- Citations by year
- 2026: 25 · 2025: 52 · 2024: 36 · 2023: 38 · 2022: 55 · 2021: 83 · 2020: 78 · 2019: 127 · 2018: 129 · 2017: 156 · 2016: 120 · 2015: 143 · 2014: 141 · 2013: 111 · 2012: 73
- FWCI
- 45.89
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Computer Networks (publishedVersion)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Keywords
- wireless sensor networks, medical applications, pervasive healthcare, remote patient monitoring, elderly care, chronic disease, energy efficiency, network security, scalability, unobtrusiveness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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