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Electroencephalogram processing using Hidden Markov Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099571" target="_blank" >RIV/68407700:21230/04:03099571 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electroencephalogram processing using Hidden Markov Models

  • Original language description

    An approach for Electroencephalogram (EEG) processing is presented. Along with the theoretical development of stochastic processing techniques, two application areas are suggested: EEG sleep recording analysis and Brain Computer Interface (BCI). Many methods have been already developed in the area of sleep staging, nevertheless the automatic scoring in not still so effective as the manual scoring. Our sleep scoring method has the advantage of better temporal resolution (1 second) compared to the classical manual approach (30 seconds). In case of BCI this is a quite new approach offering mainly support for disable people in terms of controlling personal computer. The algorithm for cue movements determination has been designed resulting in detecting themovements within one second interval.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • ISBN

    3-901608-28-1

  • Place of publication

    Vienna

  • Publisher/client name

  • Version

  • Carrier ID

    neuvedeno