Cargando…
Dataset for EEG signals used to detect the effect of coffee consumption on the activation of SSVEP signal
A set of electroencephalogram (EEG) data was obtained in the National Institute of Technology, Rourkela, India, from six individuals in the presence of seven photic stimuli of different frequencies (range: 3 Hz–30 Hz). The EEG data were recorded prior to, and post-consumption of caffeinated coffee f...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011028/ https://www.ncbi.nlm.nih.gov/pubmed/32071966 http://dx.doi.org/10.1016/j.dib.2020.105174 |
Sumario: | A set of electroencephalogram (EEG) data was obtained in the National Institute of Technology, Rourkela, India, from six individuals in the presence of seven photic stimuli of different frequencies (range: 3 Hz–30 Hz). The EEG data were recorded prior to, and post-consumption of caffeinated coffee for detecting the influence of coffee consumption on the initiation of steady-state visual evoked potential (SSVEP) signals in different regions of the brain. The data supports the article: “Data mining-based approach to study the effect of consumption of caffeinated coffee on the generation of steady-state visual evoked potential signals” [1]. The obtained dataset can also be used to have more insight into the brain response during the post-consumption of coffee using different feature extraction, classification, and SSVEP signal detection techniques. |
---|