EEG Steady-State Visual Evoked Potential Signals
Donated on 7/12/2018
This database consists on 30 subjects performing Brain Computer Interface for Steady State Visual Evoked Potentials (BCI-SSVEP).
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification, Regression
Feature Type
Integer
# Instances
9200
# Features
-
Dataset Information
Additional Information
The tests are explained in more detail in the articles attached to the databases. The tests are visual experiments, so the signal you may be more interested in are the electrodes O1 and O2 (Columns I and J) according to the extensive literature review and international standards. Each subject performed different tests which are provided in .csv format as follows: suppose you have a .csv which name is A001SB1_1 This means the data corresponds to group A (only Group A is provided at present), subject 001, Test SB1 (Five Box Visual Test), and first experiment (_1, there could be a repetition of the experiment which will be _2, _3, etc). The different tests are as follows: SB1 - Five Box Visual Test 1, SB2 - Five Box Visual Test 2, SB3 - Five Box Visual Test 3 (There are three different Five Box tests, these are not repetitions of the same test), SV1 - Visual Image Search, SM1 - Motor Images (Hand Shake Experiment). Since these experiments are visual tests, you may be interested in the electrodes O1 and O2. A file named Signal Database.xlsx is provided with a list of every experiment carried out and the subjects for each experiment. The real name of each subject are not provided due to confidentiality issues.
Has Missing Values?
No
Variables Table
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0 to 10 of 16
Additional Variable Information
There are 16 attributes, of which the last 14 are the signals coming from the electrodes. They are named according to international standards (see the references). The first two are the time-domain and a signal called interpolated which is normally 0.
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset eeg_steady_state_visual_evoked_potential_signals = fetch_ucirepo(id=457) # data (as pandas dataframes) X = eeg_steady_state_visual_evoked_potential_signals.data.features y = eeg_steady_state_visual_evoked_potential_signals.data.targets # metadata print(eeg_steady_state_visual_evoked_potential_signals.metadata) # variable information print(eeg_steady_state_visual_evoked_potential_signals.variables)
Aceves-Fernandez,M.. (2018). EEG Steady-State Visual Evoked Potential Signals. UCI Machine Learning Repository. https://doi.org/10.24432/C5DW3Q.
@misc{misc_eeg_steady-state_visual_evoked_potential_signals_457,
author = {Aceves-Fernandez,M.},
title = {{EEG Steady-State Visual Evoked Potential Signals}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5DW3Q}
}Creators
M. Aceves-Fernandez
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.