Ghazali, Mohammad Haniff (2022) Mental fatigue analysis based on electroencephalography spectrum, mental fatigue scale, and reaction time. Masters thesis, Universiti Tun Hussein Malaysia.
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Abstract
Fatigue is a condition that affects a wide range of individuals. In this pandemic era, students spend a lot of their time in front of the computer, tablet, or laptop as a medium in their online learning. The objectives of the project are to analyses the subject's mental state by analysing waveforms using electroencephalography (EEG). Next, to evaluate the mental state of subjects from the Mental Fatigue Scale (MFS) and lastly, to analyses how mental fatigue can impact someone reaction time (RT). The methodology for this project is divided by two parts. Part one is about the mental fatigue from the EEG waveform, and the second part is about the mental fatigue analysis from Mental Fatigue Scale (MFS) and the reaction time. All of the analysis were done in IBM SPSS software to show the correlation between each condition. The result of the paired T-test between condition_1 and condition_2 shows that were significant difference between those condition (P<0.05). The power spectrum for the subject that induced mental fatigue during the arithmetic test was higher for each channel. The ANOVA analysis (one way) showed that the score of MFS results were not statistically significant between the age of the subjects and the score also between the sex of the subject and the score of the MFS (P>0.05). Participants that did not suffer mental fatigue were highly from the male compared to female participants. In the reaction time test, the final reaction time was longer compared to the early reaction for each of the subjects and the paired T-test shows that the final reaction time were statistically significant from the early reaction time (P<0.05). In conclusion, the most prominent finding to emerge from this study is that the increase of reaction time can prove that someone has induced MF while doing the arithmetic test and the rise in the power spectrum of EEG signal.
| Item Type: | Thesis (Masters) |
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA401-492 Materials of engineering and construction. Mechanics of materials |
| Divisions: | Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering |
| Depositing User: | Mrs. Sabarina Che Mat |
| Date Deposited: | 26 Apr 2022 06:23 |
| Last Modified: | 26 Apr 2022 06:23 |
| URI: | http://eprints.uthm.edu.my/id/eprint/6982 |
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