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
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DOI - Digital Object Identifier
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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
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Result continuities
Project
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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
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Version
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Carrier ID
neuvedeno