Evidence map›Paper›PMID 31973123›Full record

ReviewSensors (Basel, Switzerland)2020

Review on Smart Electro-Clothing Systems (SeCSs).

Abu Sadat Muhammad Sayem, Siew Hon Teay, Hasan Shahariar, Paula Luise Fink, Alhussein Albarbar

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Sensors and digital medicine in orthopaedic surgery.OTA international : the open access journal of orthopaedic trauma · 2022
    Article
  18. Article
  19. Measuring Biosignals with Single Circuit Boards.Bioengineering (Basel, Switzerland) · 2022
    Review
  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

5 authors.

Abu Sadat Muhammad SayemSchool of Fashion, Manchester Metropolitan University, Manchester M15 6BG, UK.
Siew Hon TeaySchool of Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK.
Hasan ShahariarDepartment of Textile Engineering, Chemistry & Science, North Carolina State University, Raleigh, NC 27606, USA.
Paula Luise FinkSchool of Fashion, Manchester Metropolitan University, Manchester M15 6BG, UK.
Alhussein AlbarbarSchool of Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review paper presents an overview of the smart electro-clothing systems (SeCSs) targeted at health monitoring, sports benefits, fitness tracking, and social activities. Technical features of the available SeCSs, covering both textile and electronic components, are thoroughly discussed and their applications in the industry and research purposes are highlighted. In addition, it also presents the developments in the associated areas of wearable sensor systems and textile-based dry sensors. As became evident during the literature research, such a review on SeCSs covering all relevant issues has not been presented before. This paper will be particularly helpful for new generation researchers who are and will be investigating the design, development, function, and comforts of the sensor integrated clothing materials.

Indexed as

ElectrodesBiosensing TechniquesModels, TheoreticalSignal-To-Noise Ratiobiosignalsdry electrodee-textilesInternet of Things (IoT)knitted fabricssensorssignal-to-noise ratio (SNR)smart garments

Identifiers

PMID31973123
PMCPMC7037315

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.