Abstract

Excessive physical and cognitive activity is believed to be the cause of a person experiencing mental fatigue. Meanwhile, one of the factors that cause acute illness is mental fatigue. Thus mental fatigue has been identified as one of the life-threatening factors in the human population, especially in high school students. In this paper, we use the EEG signal to analyze mental fatigue conditions in the occipital region. We also develop cognitive tasks as stimuli for mental fatigue. Theta, alpha, and beta waves activity from EEG signals are used to compare mental fatigue conditions with normal conditions in each subject. Afterward, the time domain is analyzed using the standard deviation and the mean absolute value (MAV). Meanwhile, the IOWA Fatigue Scale (IFS) questionnaire was used as a subjective reference. Finally, it was found that when the subject suffered mental fatigue an increase in the 2 features of the EEG signal was greater than normal conditions, between the pre-task and post-task in the occipital O1 and O2 channels. In general, an increase in the 2 features of the EEG signal occurs in theta, alpha, and beta waves. From this study by analyzing brain waves in the occipital area, it was concluded that high school students who attend school for approximately 8 hours a day have the potential to experience mental fatigue.

Original languageEnglish
Title of host publicationProceeding - ICoSTA 2020
Subtitle of host publication2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728130835
DOIs
Publication statusPublished - Feb 2020
Event2020 International Conference on Smart Technology and Applications, ICoSTA 2020 - Surabaya, Indonesia
Duration: 20 Feb 2020 → …

Publication series

NameProceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development

Conference

Conference2020 International Conference on Smart Technology and Applications, ICoSTA 2020
Country/TerritoryIndonesia
CitySurabaya
Period20/02/20 → …

Keywords

  • Alpha waves
  • Beta waves
  • EEG Signals
  • IOWA Fatigue Scale
  • Mean Absolute Value
  • Mental Fatigue
  • Occipital
  • Standard Deviation
  • Theta waves

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