Nawaz, Rab and Nisar, Humaira and Voon, Yap Vooi (2021) Analyses of Stroop EEG using Event Related Potentials and Time-Frequency Decomposition. In: 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2021-03-01 - 2021-03-03, Langkawi Island, Malaysia.
Nawaz, Rab and Nisar, Humaira and Voon, Yap Vooi (2021) Analyses of Stroop EEG using Event Related Potentials and Time-Frequency Decomposition. In: 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2021-03-01 - 2021-03-03, Langkawi Island, Malaysia.
Nawaz, Rab and Nisar, Humaira and Voon, Yap Vooi (2021) Analyses of Stroop EEG using Event Related Potentials and Time-Frequency Decomposition. In: 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2021-03-01 - 2021-03-03, Langkawi Island, Malaysia.
Abstract
An event-related potential (ERP) measures the brain response that is the direct result of a specific sensory, cognitive, or motor event. In this paper we apply time-frequency analysis to the ERPs to investigate the sub-cognitive processes of the Stroop test. EEG data from 50 healthy participants are collected while performing the Stroop test. The test comprised of congruent and incongruent trials. Response time, response accuracy, and peak amplitudes and latencies are compared between congruent and incongruent trials. It is found that participants took significantly longer time to respond to incongruent trials than the congruent trials. It is also observed that the peak amplitudes in multiple ERPs are significantly higher in the congruent trials than incongruent trials. The time-frequency results revealed that brain oscillations in both congruent and incongruent trials increased in the higher beta range (18–30 Hz). We conclude that brain responses to stimulus are strongly correlated with higher beta band (18–30 Hz).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Time-frequency analysis, Visualization, Time series analysis, Interference, Particle measurements, Electroencephalography, Time factors |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 07 Aug 2026 14:58 |
| Last Modified: | 07 Aug 2026 14:58 |
| URI: | http://repository.essex.ac.uk/id/eprint/37382 |
Available files
Filename: Analyses of Stroop EEG using Event Related Potentials and Time-Frequency Decomposition.pdf