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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. | LitMetric

AI Article Synopsis

  • - This paper describes a study that collected EEG data from 40 participants (14 females and 26 males, average age 21.5) while they completed various cognitive tasks and experienced short-term stress.
  • - Tasks included the Stroop color-word test, arithmetic solving, and identifying mirror images, with each task performed for 25 seconds over three trials using a 32-channel EEG device.
  • - The EEG data was processed to eliminate baseline drifts and artifacts, making it useful for research in brain-computer interfaces and for understanding stress-related brain activity patterns.

Article Abstract

This paper presents a collection of electroencephalogram (EEG) data recorded from 40 subjects (female: 14, male: 26, mean age: 21.5 years). The dataset was recorded from the subjects while performing various tasks such as Stroop color-word test, solving arithmetic questions, identification of symmetric mirror images, and a state of relaxation. The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing the aforementioned cognitive tasks. The individual tasks were carried out for 25 s and were repeated to record three trials. The EEG was recorded using a 32-channel Emotiv Epoc Flex gel kit. The EEG data were then segmented into non-overlapping epochs of 25 s depending on the various tasks performed by the subjects. The EEG data were further processed to remove the baseline drifts by subtracting the average trend obtained using the Savitzky-Golay filter. Furthermore, the artifacts were also removed from the EEG data by applying wavelet thresholding. The dataset proposed in this paper can aid and support the research activities in the field of brain-computer interface and can also be used in the identification of patterns in the EEG data elicited due to stress.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749216PMC
http://dx.doi.org/10.1016/j.dib.2021.107772DOI Listing

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