TY - GEN
T1 - Theta, Alpha and Beta Activity in the Occipital Based on EEG Signals for Mental Fatigue in High School Students
AU - Tyas, Agnes Estuning
AU - Dharma Wibawa, Adhi
AU - Purnomo, Mauridhi Hery
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Alpha waves
KW - Beta waves
KW - EEG Signals
KW - IOWA Fatigue Scale
KW - Mean Absolute Value
KW - Mental Fatigue
KW - Occipital
KW - Standard Deviation
KW - Theta waves
UR - http://www.scopus.com/inward/record.url?scp=85085056414&partnerID=8YFLogxK
U2 - 10.1109/ICoSTA48221.2020.1570614141
DO - 10.1109/ICoSTA48221.2020.1570614141
M3 - Conference contribution
AN - SCOPUS:85085056414
T3 - Proceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development
BT - Proceeding - ICoSTA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Smart Technology and Applications, ICoSTA 2020
Y2 - 20 February 2020
ER -