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Showing 3 results for Electroencephalography
Mental Fatigue Assessment using recording Brain Signals: Electroencephalography
Behzad Fouladi Dehaghi, Abbas Mohammadi, Leila Nematpour,
Volume 7, Issue 2 (9-2019)
Abstract

Background and Objectives: Mental fatigue is a condition triggered by prolonged cognitive activity. Mental fatigue causes brain over-activity. This is a condition where the brain cells become exhausted, hampering person productivity, and overall cognitive function. The aim of this study was to assess students’ mental fatigue using brain indices.
Methods: The present descriptive - analytic study has been conducted on 20 students of the Faculty of Health mean age (SD) of 24.40 (3.73) years old in Ahwaz University of Medical Sciences (2019). To assess the performance of the participants, they were asked to study a text with spelling errors and correct those errors. This activity was performed in five stages, each lasting 15 min and EEG was recorded at all stages, and at each stage, the visual analog scale was completed by participants. Data analysis was done by SPSS 24.
Results: The results showed that the activity of alpha, beta, and theta signals in the first 15 minutes was 0.89±0.30, 0.70±0.33, and 1.19±0.36, and the last 15 minutes, 0.63±0.34, 0.55±0.26, and 1.03±0.34 respectively. Reducing the activity of the signals indicated there has been an increase in the amount of mental fatigue in individuals. Also, using visual analog scale, the individuals have acknowledged that they have experienced symptoms of mental fatigue. Finally, there was no significant relationship between students’ EEG and visual analog scale.
Conclusion: The results showed that alpha, beta and theta indices could be suitable indicators for evaluating mental fatigue. Also, mental fatigue can be one of the factors that affect the accuracy and performance of individuals, so that it can reduce their attention and efficiency.


 


Application of Electroencephalography (EEG) in Ergonomics: A Systematic Review
Seyed Abolfazl Zakerian, - Bahram Kouhnavard,
Volume 9, Issue 3 (12-2021)
Abstract
Background and Objectives: Electroencephalography is one of the non-invasive and relatively inexpensive methods that can be used to evaluate neurophysiology and cognitive functions. This systematic review study was performed with the aim of using electroencephalography (EEG) in ergonomics.
Methods: In this review study, all articles published in Persian and English on the application of electroencephalography (EEG) in ergonomics from March 20, 2010 to March 21, 2021 were reviewed. For this purpose, a systematic search of articles was performed using the keywords cognitive ergonomics, mental fatigue, electroencephalography, EEG and brain waves in the databases of PubMed, Google Scholar, Web of science, SID, Scopus, Magiran Iran Medex.
Results: Most studies were conducted between 2015 and 2020 (41 papers) and most of the subjects were car drivers. Selected articles were reviewed in seven areas of mental fatigue, mental workload, mental effort, visual fatigue, working memory load, emotions, stress, and error diagnosis. The journal Perceptual and Motor Skills, followed by Applied Ergonomics, published the largest number of related articles.
Conclusion: In the reviewed articles, the assessment of a person's mental states, especially when driving a vehicle, has been further studied and through it, tracking, monitoring and various tasks of working memory have been followed. Future research should focus on the use of computational methods that take into account the dynamic and unstable nature of EEG data. Such an approach could facilitate the development of fatigue detection systems and automated adaptive systems.

Develop and Validity Operator Room Risk-taking Questionnaire with Event-related Potentials
Omid Kalatpour, Rashid Heidarimoghadam, Iraj Mohammadfam, Maryam Farhadian, Mohammad Reza Tavakkol,
Volume 10, Issue 2 (9-2022)
Abstract
Objectives: Risk-taking is a personality trait which plays a part in the occurrence of work-related accidents. For this reason, people who are highly risk-taking whose decision might cause accident should not be employed in critical situations. The purpose of this survey was to design and verify the validity of the risk tolerance questionnaire, suitable for control room operators, through examining the event related potential (ERP).
Methods: At first, the questions were selected from reliable scientific resources based on the conceptual model. The questions of the initial questionnaire were selected based on face validity, and then the questionnaire was filled out by 178 control room operators. At the next step, the best questions of the questionnaire were extracted using exploratory factor analysis (EFA). In terms of reliability, 42 individuals of the study group refilled in the questionnaire again after three months as a test-retest. The ERPs were assessed using electroencephalography along with Balloon Analogue Risk Task (BART). The correlation coefficient calculated between the ERPs, and risky behaviors, and questionnaire scores.
Results: One factor and 13 questions were identified as the best questions regarding EFA. Cronbach's alpha was 0.91. The Spearman correlation coefficient was calculated between the questionnaire score and risk-taking behavior as well as between the questionnaire score and P300, which was 0.38 (P = 0.01, η2 = 0.70) and 0.63 (P = 0.01, η2 = 0.99), respectively.
Conclusion: The Operator control Room Risk-Taking (ORTQ) questionnaire consists of 13 questions which can be used as an appropriate tool to assess the risk-taking trait in control room operators and also for research purposes. This questionnaire has got three personality dimensions including risk-taking nature, impulsivity and venturesomeness.

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