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Event-related potential datasets based on a three-stimulus paradigm
L. Vareka, P. Bruha, R. Moucek,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
BioMedCentral
od 2012-12-01 do 2016-12-31
BioMedCentral Open Access
od 2012
Directory of Open Access Journals
od 2012
Free Medical Journals
od 2012
PubMed Central
od 2012
Europe PubMed Central
od 2012
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2012-01-01
Oxford Journals Open Access Collection
od 2011
ROAD: Directory of Open Access Scholarly Resources
od 2012
Springer Nature OA/Free Journals
od 2012-12-01 do 2016-12-31
PubMed
25671095
DOI
10.1186/2047-217x-3-35
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
BACKGROUND: The event-related potentials technique is widely used in cognitive neuroscience research. The P300 waveform has been explored in many research articles because of its wide applications, such as lie detection or brain-computer interfaces (BCI). However, very few datasets are publicly available. Therefore, most researchers use only their private datasets for their analysis. This leads to minimally comparable results, particularly in brain-computer research interfaces. Here we present electroencephalography/event-related potentials (EEG/ERP) data. The data were obtained from 20 healthy subjects and was acquired using an odd-ball hardware stimulator. The visual stimulation was based on a three-stimulus paradigm and included target, non-target and distracter stimuli. The data and collected metadata are shared in the EEG/ERP Portal. FINDINGS: The paper also describes the process and validation results of the presented data. The data were validated using two different methods. The first method evaluated the data by measuring the percentage of artifacts. The second method tested if the expectation of the experimental results was fulfilled (i.e., if the target trials contained the P300 component). The validation proved that most datasets were suitable for subsequent analysis. CONCLUSIONS: The presented datasets together with their metadata provide researchers with an opportunity to study the P300 component from different perspectives. Furthermore, they can be used for BCI research.
Citace poskytuje Crossref.org
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