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

Author:

Rahman Mahjabeen1,Karwowski Waldemar1ORCID,Sapkota Nabin2ORCID,Ismail Lina3,Alhujailli Ashraf4ORCID,Sumano Raul Fernandez5ORCID,Hancock P. A.6

Affiliation:

1. Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA

2. Department of Engineering Technology, Northwestern State University of Louisiana, Natchitoches, LA 71497, USA

3. Department of Industrial and Management Engineering, Arab Academy for Science, Technology, and Maritime Transport, Alexandria 2913, Egypt

4. Department of Management Science, Yanbu Industrial College, Yanbu 46452, Saudi Arabia

5. Industrial Engineering Technology, Dunwoody College of Technology, Minneapolis, MN 55403, USA

6. Department of Psychology, University of Central Florida, Orlando, FL 32816, USA

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.

Publisher

MDPI AG

Subject

General Neuroscience

Reference95 articles.

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