Power of the SMR brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario. - Open Research Data - Bridge of Knowledge

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Power of the SMR brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.

Description

The data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the experienced Olympic sailor athlete. The raw electroencephalographic data were collected using the 32-channels (incl. ground and reference) g. Nautilus wearable EEG headset with 24-bit ADC accuracy at 250 Hz sampling rate. All signals were properly preprocessed to remove any artifacts and filter unnecessary frequencies. At the processing stage, the Fast Fourier Transform (FFT) with Kaiser windowing, bandpass filters, and the inverse FFT were applied to obtain the pure SMR brainwaves. Finally, the power of the SMR brainwaves was calculated.

The dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 33 seconds (i.e. 8250 samples) of the power of the SMR brainwaves are related to the guided imagery part of the "Start in High Level Championship" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Start in High Level Championship" situation is presented with a duration of 60 seconds (i.e. 15000 samples).

Dataset file

Start_in_High_Level_Championship_all_electrodes_power_SMR.csv
13.4 MB, S3 ETag f75813399b1101e000f05b31f536b132-1, downloads: 17
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

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File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike

Details

Year of publication:
2021
Verification date:
2021-04-28
Dataset language:
English
Fields of science:
  • Psychology (Social studies)
  • Biomedical engineering (Engineering and Technology)
  • Health sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/f3pm-0022 open in new tab
Series:
Verified by:
Gdańsk University of Technology

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