Evidence map›Paper›PMID 37287592›Full record

ReviewGlobal challenges (Hoboken, NJ)2023

Advances in Wearable Piezoelectric Sensors for Hazardous Workplace Environments.

Fatemeh Mokhtari, Zhenxiang Cheng, Chun H Wang, Javad Foroughi

Abstract readReview
In one paragraph

Review in Global challenges (Hoboken, NJ), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. [Development of flexible multi-phase barium titanate piezoelectric sensor for physiological health and action behavior monitoring].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Review
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.

Fatemeh MokhtariCarbon Nexus Institute for Frontier Materials Deakin University Geelong Victoria 3216 Australia.
Zhenxiang ChengInstitute for Superconducting and Electronic Materials University of Wollongong Wollongong NSW 2500 Australia.
Chun H WangSchool of Mechanical and Manufacturing Engineering University of New South Wales Sydney NSW 2052 Australia.
Javad ForoughiFaculty of Engineering and Information Sciences University of Wollongong Wollongong NSW 2500 Australia.ORCID https://orcid.org/0000-0003-1979-5213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in wearable energy harvesting technology as solutions to occupational health and safety programs are presented. Workers are often exposed to harmful conditions-especially in the mining and construction industries-where chronic health issues can emerge over time. While wearable sensors technology can aid in early detection and long-term exposure tracking, powering them and the associated risks are often an impediment for their widespread use, such as the need for frequent charging and battery safety. Repetitive vibration exposure is one such hazard, e.g., whole body vibration, yet it can also provide parasitic energy that can be harvested to power wearable sensors and overcome the battery limitations. This review can critically analyze the vibration effect on workers' health, the limitations of currently available devices, explore new options for powering different personal protective equipment devices, and discuss opportunities and directions for future research. The recent progress in self-powered vibration sensors and systems from the perspective of the underlying materials, applications, and fabrication techniques is reviewed. Lastly, the challenges and perspectives are discussed for reference to the researchers who are interested in self-powered vibration sensors.

Indexed as

electronic textilesenergy generatorsminingpiezoelectricself‐powered wearable sensorsvibrationwearable sensorswearable technologies

Identifiers

PMID37287592
PMCPMC10242536

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.