Evidence map›Paper›PMID 37508959›Full record

ArticleBrain sciences2023

Isometric Arm Forces Exerted by Females at Different Levels of Physical Comfort and Their EEG Signatures.

Mahjabeen Rahman, Waldemar Karwowski, Nabin Sapkota, Lina Ismail, Ashraf Alhujailli, Raul Fernandez Sumano, P A Hancock

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 5 institutions in 3 countries.

Mahjabeen RahmanComputational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.
Waldemar KarwowskiComputational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-9134-3441
Nabin SapkotaDepartment of Engineering Technology, Northwestern State University of Louisiana, Natchitoches, LA 71497, USA.ORCID 0000-0002-1335-5199
Lina IsmailDepartment of Industrial and Management Engineering, Arab Academy for Science, Technology, and Maritime Transport, Alexandria 2913, Egypt.
Ashraf AlhujailliDepartment of Management Science, Yanbu Industrial College, Yanbu 46452, Saudi Arabia.ORCID 0000-0003-0103-6008
Raul Fernandez SumanoIndustrial Engineering Technology, Dunwoody College of Technology, Minneapolis, MN 55403, USA.ORCID 0000-0001-8514-131X
P A HancockDepartment of Psychology, University of Central Florida, Orlando, FL 32816, USA.
University of Central Florida · USArab Academy for Science, Technology, and Maritime Transport · EGDunwoody College of Technology · USNorthwestern State University · USYanbu University College · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A variety of subjective measures have traditionally been used to assess the perception of physical exertion at work and related body responses. However, the current understanding of physical comfort experienced at work is very limited. The main objective of this study was first to investigate the magnitude of isometric arm forces exerted by females at different levels of physical comfort measured on a new comfort scale and, second, to assess their corresponding neural signatures expressed in terms of power spectral density (PSD). The study assessed PSDs of four major electroencephalography (EEG) frequency bands, focusing on the brain regions controlling motor and perceptual processing. The results showed statistically significant differences in exerted arm forces and the rate of perceived exertion at the various levels of comfort. Significant differences in power spectrum density at different physical comfort levels were found for the beta EEG band. Such knowledge can be useful in incorporating female users' force requirements in the design of consumer products, including tablets, laptops, and other hand-held information technology devices, as well as various industrial processes and work systems.

Indexed as

armEEGneural signaturesphysical comfortphysical exertionspower spectral densitywork design

Identifiers

PMID37508959
PMCPMC10377375
OpenAlexW4383262703

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.