Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers

Noor Kamal Al-Qazzaz, Mohannad K. Sabir, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad, Karl Grammer

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article number59
JournalSensors (Switzerland)
Volume20
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

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emotions
electroencephalography
biomarkers
Entropy
Biomarkers
Electroencephalography
brain
Brain
Emotions
entropy
profiles
human behavior
clips
analysis of variance
Analysis of variance (ANOVA)
Scalp
Surgical Instruments
students
Spectrum analysis
spectrum analysis

Keywords

  • ANOVA
  • Electroencephalography
  • Emotion
  • Entropy
  • Hilbert transform
  • Pearson’s correlation
  • Spectral power

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers. / Al-Qazzaz, Noor Kamal; Sabir, Mohannad K.; Ali, Sawal Hamid Bin Mohd; Ahmad, Siti Anom; Grammer, Karl.

In: Sensors (Switzerland), Vol. 20, No. 1, 59, 01.01.2020.

Research output: Contribution to journalArticle

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