All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F12%3A00201617" target="_blank" >RIV/68407700:21460/12:00201617 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/bmt-2012-4219" target="_blank" >http://dx.doi.org/10.1515/bmt-2012-4219</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/bmt-2012-4219" target="_blank" >10.1515/bmt-2012-4219</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pattern recognition of epileptic EEG graphoelements with adaptive segmentation, supervised and unsupervised learning algorithms

  • Original language description

    The paper deals with pattern recognition of epileptic EEG graphoelements using adaptive segmentation, supervised and unsupervised learning algorithms for identification of EEG graphoelements of the patients with diagnosis epilepsy. The applications of cluster analysis, k-NN classifier and artificial neural networks were discussed.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů