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Description
  • This contribution describes a method for EEG decomposition with the help of independent component analysis (ICA), and classification of EEG reconstructed from movement-related independent components (ICs). The application is targeted to the brain-computer interface (BCI). Our previous works showed that it is possible to decompose EEG into movement-related and non-movement-related ICs, and classification of closely localized movements. The selection of only movement-related ICs for EEG reconstruction leads to BCI EEG classification score increasing. We reached classification score increasing by 2% on average by method described here.
  • This contribution describes a method for EEG decomposition with the help of independent component analysis (ICA), and classification of EEG reconstructed from movement-related independent components (ICs). The application is targeted to the brain-computer interface (BCI). Our previous works showed that it is possible to decompose EEG into movement-related and non-movement-related ICs, and classification of closely localized movements. The selection of only movement-related ICs for EEG reconstruction leads to BCI EEG classification score increasing. We reached classification score increasing by 2% on average by method described here. (en)
  • Příspěvek popisuje metodu pro dekompozici pohybového EEG pomocí analýzy nezávislých komponent (ICA) a klasifikaci EEG rekonstruovaného z vybraných pohybových komponent. Aplikace je zaměřena na rozhraní mozek-počítač (BCI). Naše předchozí výslekdy ukázaly, že je možné rozložit EEG na pohybové a nepohybové komponenty a také klasifikovat blízké pohyby. Výběr pouze pohybových komponent pro rekonstrukci EEG vede ke zvýšení klasifikačního skóre. S metodou popsanou v tomto příspěvku bylo klasifikační skóre zvýšeno o 2% v průměru. (cs)
Title
  • Independent Component Analysis of Movement-Related EEG and Classification of Selected Components
  • Independent Component Analysis of Movement-Related EEG and Classification of Selected Components (en)
  • Analýza nezávislých komponent pohybového EEG a klasifikace vybraných komponent (cs)
skos:prefLabel
  • Independent Component Analysis of Movement-Related EEG and Classification of Selected Components
  • Independent Component Analysis of Movement-Related EEG and Classification of Selected Components (en)
  • Analýza nezávislých komponent pohybového EEG a klasifikace vybraných komponent (cs)
skos:notation
  • RIV/68407700:21230/08:03146334!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/03/H085), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 371865
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03146334
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Brain-Computer Interface (BCI); EEG classification; Independent Component Analysis (ICA); Movement EEG (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D9FD7E554ED6]
http://linked.open...v/mistoKonaniAkce
  • Pilsen
http://linked.open...i/riv/mistoVydani
  • Pilsen
http://linked.open...i/riv/nazevZdroje
  • Applied Electronics 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sovka, Pavel
  • Šťastný, Jakub
  • Ručkay, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Západočeská univerzita v Plzni
https://schema.org/isbn
  • 978-80-7043-654-7
http://localhost/t...ganizacniJednotka
  • 21230
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