Pradhan Bikash K, Tarafdar Kishore K, Nayak Suraj K, Khasnobish Anwesha, Chakravarty Sumit, Ray Sirsendu S, Pal Kunal
Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, 769008, India.
TCS Research and Innovation, Kolkata, 700156, India.
Data Brief. 2020 Jan 25;29:105174. doi: 10.1016/j.dib.2020.105174. eCollection 2020 Apr.
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.
在印度鲁尔克拉国立技术学院,从6个人身上获取了一组脑电图(EEG)数据,实验中存在7种不同频率(范围:3赫兹至30赫兹)的光刺激。在饮用含咖啡因咖啡之前和之后记录EEG数据,以检测饮用咖啡对大脑不同区域稳态视觉诱发电位(SSVEP)信号起始的影响。这些数据支持了文章:“基于数据挖掘的方法研究饮用含咖啡因咖啡对稳态视觉诱发电位信号产生的影响”[1]。使用不同的特征提取、分类和SSVEP信号检测技术,所获得的数据集还可用于更深入了解饮用咖啡后大脑的反应。