International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 95 - Issue 16 |
Published: June 2014 |
Authors: Sukhada A. Unde, Revati Shriram |
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Sukhada A. Unde, Revati Shriram . PSD based Coherence Analysis of EEG Signals for Stroop Task. International Journal of Computer Applications. 95, 16 (June 2014), 1-5. DOI=10.5120/16675-6778
@article{ 10.5120/16675-6778, author = { Sukhada A. Unde,Revati Shriram }, title = { PSD based Coherence Analysis of EEG Signals for Stroop Task }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 95 }, number = { 16 }, pages = { 1-5 }, doi = { 10.5120/16675-6778 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Sukhada A. Unde %A Revati Shriram %T PSD based Coherence Analysis of EEG Signals for Stroop Task%T %J International Journal of Computer Applications %V 95 %N 16 %P 1-5 %R 10.5120/16675-6778 %I Foundation of Computer Science (FCS), NY, USA
The coherence analysis is based on spectral analysis, which describe the synchronization of electroencephalogram (EEG) rhythms between brain areas. Coherence analysis is a non-invasive technique for studying functional relationships between brain regions. The coherence analysis is a kind of study based on spectrum analysis, which can describe the coordination of the brain electric activities of different frequencies between brain areas. Aimed at the coherence analysis of EEG signal between brain areas using an activity Stroop Task. Power spectral density (PSD) has been used for the analysis of event related coordination of neurophysiological signals of neural responses for a particular task which the subject repetitively performs. The Welch method is used to study the PSD. we constructed simulated EEG data, looked for the suitable approach for cognitive EEG and tried to apply it to the EEG data from Stroop Tack. The result shows coherency of EEG signal of the brain areas for Stroop task activity.