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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921010465 |
| _version_ | 1819279127059890176 |
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| author | Rajdeep Ghosh Nabamita Deb Kaushik Sengupta Anurag Phukan Nitin Choudhury Sreshtha Kashyap Souvik Phadikar Ramesh Saha Pranesh Das Nidul Sinha Priyanka Dutta |
| author_facet | Rajdeep Ghosh Nabamita Deb Kaushik Sengupta Anurag Phukan Nitin Choudhury Sreshtha Kashyap Souvik Phadikar Ramesh Saha Pranesh Das Nidul Sinha Priyanka Dutta |
| author_sort | Rajdeep Ghosh |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-24T00:22:57Z |
| format | Article |
| id | doaj.art-817eb219dfc3498abf7047878ce16a19 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-24T00:22:57Z |
| publishDate | 2022-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-817eb219dfc3498abf7047878ce16a192022-12-21T17:24:32ZengElsevierData in Brief2352-34092022-02-0140107772SAM 40: Dataset of 40 subject EEG recordings to monitor the induced-stress while performing Stroop color-word test, arithmetic task, and mirror image recognition taskRajdeep Ghosh0Nabamita Deb1Kaushik Sengupta2Anurag Phukan3Nitin Choudhury4Sreshtha Kashyap5Souvik Phadikar6Ramesh Saha7Pranesh Das8Nidul Sinha9Priyanka Dutta10Department of Information Technology, Gauhati University, Guwahati, Assam 781014, India; Corresponding author.Department of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Electrical Engineering, National Institute of Technology, Silchar, Assam 788010, IndiaDepartment of Information Technology, Gauhati University, Guwahati, Assam 781014, IndiaDepartment of Computer Science and Engineering, National Institute of Technology Calicut, Kozhikode, Kerala 673601, IndiaDepartment of Electrical Engineering, National Institute of Technology, Silchar, Assam 788010, IndiaDepartment of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam 781014, IndiaThis 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.http://www.sciencedirect.com/science/article/pii/S2352340921010465EEGStroop color-word testShort-term stress monitoringEmotiv EpocSavitzky-Golay filterWavelet thresholding |
| spellingShingle | Rajdeep Ghosh Nabamita Deb Kaushik Sengupta Anurag Phukan Nitin Choudhury Sreshtha Kashyap Souvik Phadikar Ramesh Saha Pranesh Das Nidul Sinha Priyanka Dutta 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 Data in Brief EEG Stroop color-word test Short-term stress monitoring Emotiv Epoc Savitzky-Golay filter Wavelet thresholding |
| 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 | EEG Stroop color-word test Short-term stress monitoring Emotiv Epoc Savitzky-Golay filter Wavelet thresholding |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921010465 |
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