This dataset of EEG signals is taken to monitor stress during observation of visually-presented stimuli comprising of mathematical, logical reasoning questions and Stroop color test. This dataset tried to capture the invoked stress due to each of the individual modules. Other researchers now benefit from this data for other related scientific study.

This dataset of EEG signals is taken to monitor stress during observation of visually-presented stimuli comprising of mathematical, logical reasoning questions and Stroop color test. This dataset tried to capture the invoked stress due to each of the individual modules. Other researchers now benefit from this data for other related scientific study.

Please Donot Use this dataset as this was published unintentionally

This dataset contains EEG recording of students while performing different types of tasks such as Stroop Color Word test, recognizing mirror image symmetry in images , and correctly evaluating arithmetic problems within a specific time duration. The age of the students ranges from 18-25 years with a mean age of 21.5 years. EEG data were recorded from 32-channels using Emotiv Epoc Flex gel kit at a sampling frequency of 128Hz. Three trials were recorded from an individual subject.

This dataset presents a collection of electroencephalographic (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 (SCWT), solving arithmetic questions, identification of symmetric mirror images, and a state of relaxation. Three trials were recorded for each of the individual tasks. The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing the aforementioned cognitive tasks. 32-channel EEG was recorded using the Emotiv Epoc Flex gel kit. 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 removed by applying wavelet thresholding. The processed data was then segmented into non-overlapping epochs of 25 seconds depending on the various tasks performed by the subjects.

This dataset presents a collection of electroencephalographic (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 (SCWT), solving arithmetic questions, identification of symmetric mirror images, and a state of relaxation. Three trials were recorded for each of the individual tasks. The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing the aforementioned cognitive tasks. 32-channel EEG was recorded using the Emotiv Epoc Flex gel kit. 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 removed by applying wavelet thresholding. The processed data was then segmented into non-overlapping epochs of 25 seconds depending on the various tasks performed by the subjects.

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.

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.