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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F14%3A43924102%21RIV15-MSM-23520___
rdf:type
skos:Concept n14:Vysledek
rdfs:seeAlso
http://www.kiv.zcu.cz/en/research/downloads/product-detail-en.html?produkt_id=128
dcterms: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 a three-stimulus paradigm. Gigascience 2014, 3. This work was supported by the UWB grant SGS-2013-039 Methods and Applications of Bio- and Medical Informatics. 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 a three-stimulus paradigm. Gigascience 2014, 3. This work was supported by the UWB grant SGS-2013-039 Methods and Applications of Bio- and Medical Informatics.
dcterms:title
P300 data validator P300 data validator
skos:prefLabel
P300 data validator P300 data validator
skos:notation
RIV/49777513:23520/14:43924102!RIV15-MSM-23520___
n4:aktivita
n15:S
n4:aktivity
S
n4:dodaniDat
n7:2015
n4:domaciTvurceVysledku
n5:8498113 n5:9565140 n5:5960924
n4:druhVysledku
n16:R
n4:duvernostUdaju
n11:S
n4:ekonomickeParametry
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%.
n4:entitaPredkladatele
n6:predkladatel
n4:idSjednocenehoVysledku
40974
n4:idVysledku
RIV/49777513:23520/14:43924102
n4:interniIdentifikace
p3-validator
n4:jazykVysledku
n17:eng
n4:klicovaSlova
validation; linear discriminant analysis; P300
n4:klicoveSlovo
n9:P300 n9:validation n9:linear%20discriminant%20analysis
n4:kontrolniKodProRIV
[05DF1BA4439A]
n4:licencniPoplatek
n19:N
n4:obor
n13:JC
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n7:2014
n4:technickeParametry
Lukáš Vařeka, Univerzitní 8, 306 14 Plzeň, telefon 377632444; mail: lvareka@kiv.zcu.cz
n4:tvurceVysledku
Mouček, Roman Vařeka, Lukáš Brůha, Petr
n4:vlastnik
n6:vlastnikVysledku
n4:vyuzitiJinymSubjektem
n12:A
n10:organizacniJednotka
23520