Dataset for EEG signals used to detect the effect of coffee consumption on the activation of SSVEP signal

Bikash K Pradhan; Kishore K Tarafdar; Suraj K Nayak; Anwesha Khasnobish; Sumit Chakravarty; Sirsendu S Ray; Kunal Pal

doi:10.1016/j.dib.2020.105174

Dataset for EEG signals used to detect the effect of coffee consumption on the activation of SSVEP signal

Data Brief. 2020 Jan 25:29:105174. doi: 10.1016/j.dib.2020.105174. eCollection 2020 Apr.

Authors

Bikash K Pradhan¹, Kishore K Tarafdar¹, Suraj K Nayak¹, Anwesha Khasnobish², Sumit Chakravarty³, Sirsendu S Ray¹, Kunal Pal¹

Affiliations

¹ Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, 769008, India.
² TCS Research and Innovation, Kolkata, 700156, India.
³ Department of Electrical Engineering, Kennesaw State University, Marietta, GA 30060, USA.

Abstract

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.

Keywords: Caffeinated coffee; EEG; Steady-state visual evoked potential.