Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection
Ageing Research Reviews, ISSN: 1568-1637, Vol: 70, Page: 101399
2021
- 26Citations
- 76Captures
- 3Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations26
- Citation Indexes26
- 26
- CrossRef2
- Captures76
- Readers76
- 76
- Mentions3
- Blog Mentions1
- Blog1
- News Mentions1
- News1
- References1
- Wikipedia1
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Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection
Publication date: September 2021 Source: Ageing Research Reviews, Volume 70 Author(s): Francisco Anabitarte-García, Luis Reyes-González, Luis Rodríguez-Cobo, Carlos Fernández-Viadero, Silvia Somonte-Segares, Sara Díez-del-Valle, Eneritz Mandaluniz, Roberto García-García, José M. López-Higuera Read the full article › The post Early diagnosis of frailty: Technological and non-intrusive devices for c
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Use of a wearable accelerometer to evaluate physical frailty in people receiving haemodialysis
Abstract Background Physical frailty is a major health concern among people receiving haemodialysis (HD) for stage-5 chronic kidney disease (CKD-5). Wearable accelerometers are increasingly being
Review Description
This work analyses different concepts for frailty diagnosis based on affordable standard technology such as smartphones or wearable devices. The goal is to provide ideas that go beyond classical diagnostic tools such as magnetic resonance imaging or tomography, thus changing the paradigm; enabling the detection of frailty without expensive facilities, in an ecological way for both patients and medical staff and even with continuous monitoring. Fried's five-point phenotype model of frailty along with a model based on trials and several classical physical tests were used for device classification. This work provides a starting point for future researchers who will have to try to bridge the gap separating elderly people from technology and medical tests in order to provide feasible, accurate and affordable tools for frailty monitoring for a wide range of users.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S156816372100146X; http://dx.doi.org/10.1016/j.arr.2021.101399; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85109444958&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/34214641; https://linkinghub.elsevier.com/retrieve/pii/S156816372100146X; https://dx.doi.org/10.1016/j.arr.2021.101399
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