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Description
  • Automated signal processing of electroencephalographic (EEG) data is mostly very sophisticated and time consuming. Also the data amounts of the patients necessary to process are mostly high. Using a parallel signal processing techniques is suitable for saving the time. When the workgroup computing force consist only standard personal computers with standard equipment, a technique easy to implement is necessary. The one suitable technique is the Distributed Component Object Model (DCOM) mechanism that basically allows ActiveX clients to use remote ActiveX objects over a network. This paper describes one possibility of using a number of Matlab instances as ActiveX objects in school network working in synergy when the consequent is decreasing the computing time of EEG signal processing.
  • Automated signal processing of electroencephalographic (EEG) data is mostly very sophisticated and time consuming. Also the data amounts of the patients necessary to process are mostly high. Using a parallel signal processing techniques is suitable for saving the time. When the workgroup computing force consist only standard personal computers with standard equipment, a technique easy to implement is necessary. The one suitable technique is the Distributed Component Object Model (DCOM) mechanism that basically allows ActiveX clients to use remote ActiveX objects over a network. This paper describes one possibility of using a number of Matlab instances as ActiveX objects in school network working in synergy when the consequent is decreasing the computing time of EEG signal processing. (en)
Title
  • Distributed computing system for EEG signal processing using MATLAB as activex object in DCOM model
  • Distributed computing system for EEG signal processing using MATLAB as activex object in DCOM model (en)
skos:prefLabel
  • Distributed computing system for EEG signal processing using MATLAB as activex object in DCOM model
  • Distributed computing system for EEG signal processing using MATLAB as activex object in DCOM model (en)
skos:notation
  • RIV/68407700:21230/10:00171489!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NT11460), 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
  • 254711
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00171489
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • MATLAB, ActiveX, DCOM model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CFC5A5D1C151]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Technical Computing Bratislava 2010
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
  • Ježdík, Petr
  • Čmejla, Roman
  • Jahodová, A.
  • Kršek, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • RT systems, s.r.o
https://schema.org/isbn
  • 978-80-970519-0-7
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
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