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

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

Opis

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).

Plik z danymi badawczymi

Start_in_High_Level_Championship_all_electrodes_power_SMR.csv
13.4 MB, S3 ETag f75813399b1101e000f05b31f536b132-1, 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

Informacje szczegółowe o pliku

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/f3pm-0022 otwiera się w nowej karcie
Seria:
Weryfikacja:
Politechnika Gdańska

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