Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Successful Competition" scenario. - Open Research Data - MOST Wiedzy

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Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Successful Competition" scenario.

Opis

The data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations 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 high alpha brainwaves. Finally, the power of the high alpha brainwaves was calculated.

The dataset is arranged in 30 columns. Each column corresponds to one EEG electrode. The first 38 seconds (i.e. 9500 samples) of the high alpha brainwaves' power are related to the guided imagery part of the "Successful Competition" situation. Then, there is 2 seconds break (500 samples), after which the self-produced imagery part of the "Successful Competition" situation is presented with a duration of 60 seconds (i.e. 15000 samples).

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Successful_Competition_all_electrodes_power_high_alpha.csv
13.8 MB, S3 ETag 3739688a74e8d17ae7754cf0137632fb-1, pobrań: 69
Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5

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Licencja:
Creative Commons: by-nc-sa 4.0 otwiera się w nowej karcie
CC BY-NC-SA
Użycie niekomercyjne - Na tych samych warunkach

Informacje szczegółowe

Rok publikacji:
2021
Data zatwierdzenia:
2021-04-28
Język danych badawczych:
angielski
Dyscypliny:
  • psychologia (Dziedzina nauk społecznych)
  • inżynieria biomedyczna (Dziedzina nauk inżynieryjno-technicznych)
  • nauki o zdrowiu (Dziedzina nauk medycznych i nauk o zdrowiu)
DOI:
Identyfikator DOI 10.34808/sapq-n170 otwiera się w nowej karcie
Seria:
Weryfikacja:
Politechnika Gdańska

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