Evidence map›Paper›PMID 36772718›Full record

ReviewSensors (Basel, Switzerland)2023

Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies.

Elena Escobar-Linero, Luis Muñoz-Saavedra, Francisco Luna-Perejón, José Luis Sevillano, Manuel Domínguez-Morales

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. [A wearable six-minute walk-based system to predict postoperative pulmonary complications after cardiac valve surgery: an exploratory study].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  12. 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

5 authors.

Elena Escobar-LineroArchitecture and Computer Technology Department, ETSII-EPS, University of Seville, 41004 Sevilla, Spain.ORCID 0000-0001-8789-6476
Luis Muñoz-SaavedraArchitecture and Computer Technology Department, ETSII-EPS, University of Seville, 41004 Sevilla, Spain.ORCID 0000-0002-4368-3791
Francisco Luna-PerejónArchitecture and Computer Technology Department, ETSII-EPS, University of Seville, 41004 Sevilla, Spain.ORCID 0000-0002-4352-8759
José Luis SevillanoArchitecture and Computer Technology Department, ETSII-EPS, University of Seville, 41004 Sevilla, Spain.ORCID 0000-0002-1392-1832
Manuel Domínguez-MoralesArchitecture and Computer Technology Department, ETSII-EPS, University of Seville, 41004 Sevilla, Spain.ORCID 0000-0001-5669-9111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In this work, we carried out a detailed study on the use of these devices (regarding the general trends); we analyzed the research works and devices marketed in the last 10 years. This analysis extracted relevant information on the general trend of use, as well as more specific aspects, such as the use of sensors, communication technologies, and diseases. A comparison was made between the commercial and research aspects linked to wearables in the healthcare field, and upcoming trends were analyzed.

Indexed as

TelemedicineWearable Electronic DevicesForecastingdiagnosis aide-Healthphysiological signalswearable

Identifiers

PMID36772718
PMCPMC9920884

What OpenQuestion holds

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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 OpenQuestion graph.