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Description
  • Event-related potentials (ERPs) and especially the P300 component have been gaining attention in braincomputer interface design and neurobiological research. The detection of the P300 component in electroencephalographic signal is challenging since its signal-to-noise ratio is very low. Instead of using traditional supervised pattern recognition, this paper discusses using unsupervised neural networks for the P300 classification purposes. To validate the proposed approach, a method for the P300 detection based on matching pursuit and self-organizing maps is proposed and evaluated. The results may be applied to the design of brain-computer interfaces.
  • Event-related potentials (ERPs) and especially the P300 component have been gaining attention in braincomputer interface design and neurobiological research. The detection of the P300 component in electroencephalographic signal is challenging since its signal-to-noise ratio is very low. Instead of using traditional supervised pattern recognition, this paper discusses using unsupervised neural networks for the P300 classification purposes. To validate the proposed approach, a method for the P300 detection based on matching pursuit and self-organizing maps is proposed and evaluated. The results may be applied to the design of brain-computer interfaces. (en)
Title
  • Self-organizing Maps for Event-Related Potential Data Analysis
  • Self-organizing Maps for Event-Related Potential Data Analysis (en)
skos:prefLabel
  • Self-organizing Maps for Event-Related Potential Data Analysis
  • Self-organizing Maps for Event-Related Potential Data Analysis (en)
skos:notation
  • RIV/49777513:23520/14:43922108!RIV15-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 44342
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/14:43922108
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • BCI.; self-organizing maps; P300; Event-related potentials (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7CF87D2CC43F]
http://linked.open...v/mistoKonaniAkce
  • Angers, Francie
http://linked.open...i/riv/mistoVydani
  • Setúbal
http://linked.open...i/riv/nazevZdroje
  • Healthinf 2014 - Proceedings of the international conference on health informatics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mautner, Pavel
  • Vařeka, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • SciTePress
https://schema.org/isbn
  • 978-989-758-010-9
http://localhost/t...ganizacniJednotka
  • 23520
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