System Approach to Complex Signal Processing Task

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00161060" target="_blank" >RIV/68407700:21230/09:00161060 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/09:00161060
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
System Approach to Complex Signal Processing Task
Original language description
This paper describes methods of automatic analysis and classification of biological signals. Polysomnographic (PSG) recordings encompass a set of heterogeneous biological signals (e.g. EEG; EOG; EMG; ECG; PNG) recorded simultaneously. These signals; especially EEG; are very complex and exhibit nonstationarity and stochasticity. Thus their processing represents a challenging multilevel procedure composed of several methods. Used methods are illustrated on examples of PSG recordings of newborns and sleeprecordings of adults and can be applied to similar tasks in other problem domains.
Czech name
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Czech description
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Project
<a href="/en/project/1ET101210512" target="_blank" >1ET101210512: Intelligent methods for evaluation of long-term EEG recordings</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computer Aided Systems Theory - Revised Selected Papers
ISBN
978-3-642-04771-8
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer
Place of publication
Heidelberg
Event location
Las Palmas de Gran Canaria
Event date
Feb 15, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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