Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers
Identifying emotions has become essential for comprehending varied human behavior during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting information in terms of waveform distribution over the scalp. The rationale behind this work is twofold. First, it aims to propose s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/38199/ http://psasir.upm.edu.my/id/eprint/38199/1/38199.pdf |
| _version_ | 1848848813264994304 |
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| author | Al-Qazzaz, Noor Kamal Sabir, Mohannad K. Md. Ali, Sawal Hamid Ahmad, Siti Anom Grammer, Karl |
| author_facet | Al-Qazzaz, Noor Kamal Sabir, Mohannad K. Md. Ali, Sawal Hamid Ahmad, Siti Anom Grammer, Karl |
| author_sort | Al-Qazzaz, Noor Kamal |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Identifying emotions has become essential for comprehending varied human behavior during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting information in terms of waveform distribution over the scalp. The rationale behind this work is twofold. First, it aims to propose spectral, entropy and temporal biomarkers for emotion identification. Second, it aims to integrate the spectral, entropy and temporal biomarkers as a means of developing spectro-spatial (SS) , entropy-spatial (ES) and temporo-spatial (TS) emotional profiles over the brain regions. The EEGs of 40 healthy volunteer students from the University of Vienna were recorded while they viewed seven brief emotional video clips. Features using spectral analysis, entropy method and temporal feature were computed. Three stages of two-way analysis of variance (ANOVA) were undertaken so as to identify the emotional biomarkers and Pearson’s correlations were employed to determine the optimal explanatory profiles for emotional detection. The results evidence that the combination of applied spectral, entropy and temporal sets of features may provide and convey reliable biomarkers for identifying SS, ES and TS profiles relating to different emotional states over the brain areas. EEG biomarkers and profiles enable more comprehensive insights into various human behavior effects as an intervention on the brain. |
| first_indexed | 2025-11-15T09:40:28Z |
| format | Article |
| id | upm-38199 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:40:28Z |
| publishDate | 2020 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-381992020-05-04T15:52:28Z http://psasir.upm.edu.my/id/eprint/38199/ Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers Al-Qazzaz, Noor Kamal Sabir, Mohannad K. Md. Ali, Sawal Hamid Ahmad, Siti Anom Grammer, Karl Identifying emotions has become essential for comprehending varied human behavior during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting information in terms of waveform distribution over the scalp. The rationale behind this work is twofold. First, it aims to propose spectral, entropy and temporal biomarkers for emotion identification. Second, it aims to integrate the spectral, entropy and temporal biomarkers as a means of developing spectro-spatial (SS) , entropy-spatial (ES) and temporo-spatial (TS) emotional profiles over the brain regions. The EEGs of 40 healthy volunteer students from the University of Vienna were recorded while they viewed seven brief emotional video clips. Features using spectral analysis, entropy method and temporal feature were computed. Three stages of two-way analysis of variance (ANOVA) were undertaken so as to identify the emotional biomarkers and Pearson’s correlations were employed to determine the optimal explanatory profiles for emotional detection. The results evidence that the combination of applied spectral, entropy and temporal sets of features may provide and convey reliable biomarkers for identifying SS, ES and TS profiles relating to different emotional states over the brain areas. EEG biomarkers and profiles enable more comprehensive insights into various human behavior effects as an intervention on the brain. MDPI 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38199/1/38199.pdf Al-Qazzaz, Noor Kamal and Sabir, Mohannad K. and Md. Ali, Sawal Hamid and Ahmad, Siti Anom and Grammer, Karl (2020) Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers. Sensors, 20 (1). art. no. 59. pp. 1-21. ISSN 1424-8220 https://www.mdpi.com/1424-8220/20/1/59 10.3390/s20010059 |
| spellingShingle | Al-Qazzaz, Noor Kamal Sabir, Mohannad K. Md. Ali, Sawal Hamid Ahmad, Siti Anom Grammer, Karl Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title | Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title_full | Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title_fullStr | Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title_full_unstemmed | Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title_short | Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| title_sort | electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers |
| url | http://psasir.upm.edu.my/id/eprint/38199/ http://psasir.upm.edu.my/id/eprint/38199/ http://psasir.upm.edu.my/id/eprint/38199/ http://psasir.upm.edu.my/id/eprint/38199/1/38199.pdf |