Systematic Review on the Use of Electroencephalogram in Detecting Work Fatigue
Fatigue is one of the causes of occupational accidents and injuries especially among motor-vehicle users and those working in high risk jobs. For over many years there were attempts to quantify and objectify fatigue using an electroencephalogram (EEG). This systematic review is to the study proto...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/37248/1/Profesor%20Dr.%20Anselm%20Su%20Ting.pdf http://ir.unimas.my/id/eprint/37248/ https://www.iomcworld.org/open-access/systematic-review-on-the-use-of-electroencephalogram-in-detecting-work-fatigue-55059.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Fatigue is one of the causes of occupational accidents and injuries especially
among motor-vehicle users and those working in high risk jobs. For over
many years there were attempts to quantify and objectify fatigue using an
electroencephalogram (EEG). This systematic review is to the study protocols
used and explore the results obtained to potentiate EEG’s ability as a fatigue
prevention-screening tool. We used the PRISMA statement method to identify,
collate and classify the articles for review from PubMed database. Three
investigators, independently, using predefined criteria, assessed selection of
the articles. They assessed its quality following a standard set of information
too. Of the 962 articles, scanned only 24 articles met the criteria and showed
acceptable quality. Almost no papers attended to the sampling method.
However, their variable measurements and analysis are appropriate according
to respective objectives. EEG recording is an objective assessment and readily
duplicated but we could not perform meta-analysis due to inadequacy in
standardized methods of data collection and analysis. Nevertheless, the EEG
changes showed consistency in findings whereby theta and alpha wave bands
are the best indicators in fatigue detection. Hence: making EEG a potential
screening tool for fatigue. |
|---|