Evidence map›Paper›PMID 29799504›Full record

ReviewSensors (Basel, Switzerland)2018

Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review.

Aida Kamišalić, Iztok Fister, Muhamed Turkanović, Sašo Karakatič

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
14.2field-weighted citation impact, top 1% of its field
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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 270 citations in OpenAlex.

  1. Pooled it
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  12. Sensors: future tools for detecting young patient's stress during a dental invasive versus a non-invasive dental treatment-a pilot study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  13. Article
  14. Article
  15. Screening and diagnosis of atrial fibrillation using wearable devices.The Korean journal of internal medicine · 2025
    Review
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  17. Review
  18. Article
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Aida KamišalićInstitute of Informatics, Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia. aida.kamisalic@um.si.ORCID 0000-0002-8574-8506
Iztok FisterInstitute of Informatics, Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia. iztok.fister1@um.si.ORCID 0000-0002-6418-1272
Muhamed TurkanovićInstitute of Informatics, Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia. muhamed.turkanovic@um.si.ORCID 0000-0002-5079-5468
Sašo KarakatičInstitute of Informatics, Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia. saso.karakatic@um.si.ORCID 0000-0003-4441-9690
University of Maribor · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices have recently received considerable interest due to their great promise for a plethora of applications. Increased research efforts are oriented towards a non-invasive monitoring of human health as well as activity parameters. A wide range of wearable sensors are being developed for real-time non-invasive monitoring. This paper provides a comprehensive review of sensors used in wrist-wearable devices, methods used for the visualization of parameters measured as well as methods used for intelligent analysis of data obtained from wrist-wearable devices. In line with this, the main features of commercial wrist-wearable devices are presented. As a result of this review, a taxonomy of sensors, functionalities, and methods used in non-invasive wrist-wearable devices was assembled.

Indexed as

Wearable Electronic DevicesBiosensing TechniquesHumansMonitoring, PhysiologicOccupationsStress, PsychologicalWristintelligent analysisnon-invasivesensortaxonomyvisualizationwrist-wearable device

Identifiers

PMID29799504
PMCPMC6021794
OpenAlexW2803297114

What OpenQuestion 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 OpenQuestion graph.