Evidence map›Paper›PMID 35200334›Full record

ReviewBiosensors2022

Remote Healthcare for Elderly People Using Wearables: A Review.

José Oscar Olmedo-Aguirre, Josimar Reyes-Campos, Giner Alor-Hernández, Isaac Machorro-Cano, Lisbeth Rodríguez-Mazahua, José Luis Sánchez-Cervantes

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  6. Review
  7. Review
  8. Article
  9. Article
  10. Observational
  11. Article
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  13. Article
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  15. Article
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  17. Aging With Artificial Intelligence: How Technology Enhances Older Adults' Health and Independence.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

José Oscar Olmedo-AguirreDepartment of Electrical Engineering, CINVESTAV-IPN, Av. Instituto Politécnico Nacional 2 508, Col. San Pedro Zacatenco, Delegación Gustavo A. Madero, Mexico City C.P. 07360, Mexico.ORCID 0000-0002-1920-9221
Josimar Reyes-CamposTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.ORCID 0000-0002-0846-0242
Giner Alor-HernándezTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.ORCID 0000-0003-3296-0981
Isaac Machorro-CanoUniversidad del Papaloapan, Circuito Central #200, Col. Parque Industrial, Tuxtepec C.P. 68301, Oaxaca, Mexico.ORCID 0000-0002-3822-4478
Lisbeth Rodríguez-MazahuaTecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.ORCID 0000-0002-9861-3993
José Luis Sánchez-CervantesCONACYT-Tecnológico Nacional de México/I. T. Orizaba, Av. Oriente 9 852, Col. Emiliano Zapata, Orizaba C.P. 94320, Veracruz, Mexico.ORCID 0000-0001-5194-1263

Funding

Consejo Nacional de Ciencia y Tecnología A1-S-51808 and 52-2016
6 · The paper itself

Abstract

The growth of health care spending on older adults with chronic diseases faces major concerns that require effective measures to be adopted worldwide. Among the main concerns is whether recent technological advances now offer the possibility of providing remote health care for the aging population. The benefits of suitable prevention and adequate monitoring of chronic diseases by using emerging technological paradigms such as wearable devices and the Internet of Things (IoT) can increase the detection rates of health risks to raise the quality of life for the elderly. Specifically, on the subject of remote health monitoring in older adults, a first approach is required to review devices, sensors, and wearables that serve as tools for obtaining and measuring physiological parameters in order to identify progress, limitations, and areas of opportunity in the development of health monitoring schemes. For these reasons, a review of articles on wearable devices was presented in the first instance to identify whether the selected articles addressed the needs of aged adults. Subsequently, the direct review of commercial and prototype wearable devices with the capability to read physiological parameters was presented to identify whether they are optimal or usable for health monitoring in older adults.

Indexed as

Internet of ThingsWearable Electronic DevicesAgedChronic DiseaseDelivery of Health CareHumansMiddle AgedQuality of Lifeelderlyhealthcaremonitoringsensorswearables

Identifiers

PMID35200334
PMCPMC8869443

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.