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P300 data validator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43924102" target="_blank" >RIV/49777513:23520/14:43924102 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.kiv.zcu.cz/en/research/downloads/product-detail-en.html?produkt_id=128" target="_blank" >http://www.kiv.zcu.cz/en/research/downloads/product-detail-en.html?produkt_id=128</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    P300 data validator

  • Original language description

    The P300 validator contains multiple Matlab scripts that are used for calculating quality measure (typically accuracy) for common odd-ball paradigm data. The Windowed means paradigm was used for feature extraction and linear discriminant analysis was used for classification. The project is also available on: https://github.com/INCF/p3-validator The P300 validator was also used for data validation in the following publication: Vařeka, L.; Brůha, P.; Mouček, R. Event-related potential datasets based on athree-stimulus paradigm. Gigascience 2014, 3. This work was supported by the UWB grant SGS-2013-039 Methods and Applications of Bio- and Medical Informatics.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    p3-validator

  • Technical parameters

    Lukáš Vařeka, Univerzitní 8, 306 14 Plzeň, telefon 377632444; mail: lvareka@kiv.zcu.cz

  • Economical parameters

    Zvýšení kvality validace P300 dat. Kombinace metody Windowed Means pro extrakci příznaků a LDA pro klasifikaci předčila v úspěšnosti některé běžně používané metody. Spolehlivost klasifikace bez průměrování se pohybovala v rozmezí 60% - 90%.

  • Owner IČO

    49777513

  • Owner name

    ZČU v Plzni, KIV