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Description
  • This paper presents a method for merging of different EEG recordings. We deal with merging of recordings and EEG stability with respect to long-term Brain-Computer Interface usage. Recording sessions from experiments separated by a one year period are used to test the method. Classification results using a Hidden Markov Model based classifier and both Laplacian filtering and Independent Component Analysis are presented to validate the merge. The results indicate that movement-related EEG responses can be detected in both stand-alone and merged sessions which prove viability of the proposed method. The presented method is a necessary step to investigate short-term and long-term changes with future experiments using a real time EEG processing system developed by our group. Both data analysis and classification indicate that the movement-related EEG responses are stable.
  • This paper presents a method for merging of different EEG recordings. We deal with merging of recordings and EEG stability with respect to long-term Brain-Computer Interface usage. Recording sessions from experiments separated by a one year period are used to test the method. Classification results using a Hidden Markov Model based classifier and both Laplacian filtering and Independent Component Analysis are presented to validate the merge. The results indicate that movement-related EEG responses can be detected in both stand-alone and merged sessions which prove viability of the proposed method. The presented method is a necessary step to investigate short-term and long-term changes with future experiments using a real time EEG processing system developed by our group. Both data analysis and classification indicate that the movement-related EEG responses are stable. (en)
Title
  • EEG database merging for BCI applications
  • EEG database merging for BCI applications (en)
skos:prefLabel
  • EEG database merging for BCI applications
  • EEG database merging for BCI applications (en)
skos:notation
  • RIV/68407700:21230/12:00194300!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/08/H008), S, Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 132850
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00194300
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • EEG STABILITY; BCI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [F69DF64B0CD6]
http://linked.open...i/riv/nazevZdroje
  • ElectroScope
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...v/svazekPeriodika
  • 2012
http://linked.open...iv/tvurceVysledku
  • Doležal, Jaromír
  • Šťastný, Jakub
  • Švadlenka, Michal
http://linked.open...n/vavai/riv/zamer
issn
  • 1802-4564
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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