SAM 40: Dataset of 40 Subject EEG Recordings to Monitor the Induced-Stress while performing Stroop Color-Word Test, Arithmetic Task, and Mirror Image Recognition Task

This dataset presents a collection of electroencephalographic (EEG) data recorded from 40 subjects (female: 14, male: 26, mean age: 21.5 years). The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing various tasks such as: Stroop color-word...

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Hauptverfasser: BCI Lab GU, Ghosh, Rajdeep, Nabamita Deb, Sengupta, Kaushik, Anurag Phukan, Nitin Choudhury, Sreshtha Kashyap, Souvik Phadikar, Saha, Ramesh, Pranesh Das, Nidul Sinha, Dutta, Priyanka
Format: Dataset
Sprache:eng
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Zusammenfassung:This dataset presents a collection of electroencephalographic (EEG) data recorded from 40 subjects (female: 14, male: 26, mean age: 21.5 years). The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing various tasks such as: Stroop color-word test (SCWT), solving arithmetic questions, identification of symmetric mirror images, and a state of relaxation. The individual tasks were carried out for 25 seconds and three trials were recorded for each of the individual tasks. The subjects were presented with the various stimuli on a monitor placed 70 cm away from the subjects. The subjects were further asked to give their ratings on a scale of 1-10 depending on the level of stress elicited while performing the various mental tasks [scales.xls]. The EEG was recorded with a 32-channel Emotiv Epoc Flex gel kit. The EEG data corresponding to the various tasks were segmented into non-overlapping epochs of 25 seconds. The EEG data were further processed to remove the baseline drifts by subtracting the average trend obtained using the Savitzky-Golay filter. The artifacts were also removed from the EEG data by applying wavelet thresholding.
DOI:10.6084/m9.figshare.14562090