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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
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 symmet...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749216/ https://www.ncbi.nlm.nih.gov/pubmed/35036481 http://dx.doi.org/10.1016/j.dib.2021.107772 |
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author | Ghosh, Rajdeep Deb, Nabamita Sengupta, Kaushik Phukan, Anurag Choudhury, Nitin Kashyap, Sreshtha Phadikar, Souvik Saha, Ramesh Das, Pranesh Sinha, Nidul Dutta, Priyanka |
author_facet | Ghosh, Rajdeep Deb, Nabamita Sengupta, Kaushik Phukan, Anurag Choudhury, Nitin Kashyap, Sreshtha Phadikar, Souvik Saha, Ramesh Das, Pranesh Sinha, Nidul Dutta, Priyanka |
author_sort | Ghosh, Rajdeep |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8749216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87492162022-01-13 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 Ghosh, Rajdeep Deb, Nabamita Sengupta, Kaushik Phukan, Anurag Choudhury, Nitin Kashyap, Sreshtha Phadikar, Souvik Saha, Ramesh Das, Pranesh Sinha, Nidul Dutta, Priyanka Data Brief Data Article 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. Elsevier 2022-01-01 /pmc/articles/PMC8749216/ /pubmed/35036481 http://dx.doi.org/10.1016/j.dib.2021.107772 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Ghosh, Rajdeep Deb, Nabamita Sengupta, Kaushik Phukan, Anurag Choudhury, Nitin Kashyap, Sreshtha Phadikar, Souvik Saha, Ramesh Das, Pranesh Sinha, Nidul Dutta, Priyanka 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749216/ https://www.ncbi.nlm.nih.gov/pubmed/35036481 http://dx.doi.org/10.1016/j.dib.2021.107772 |
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