Sleep spindles detection using empirical mode decomposition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F15%3A43914841" target="_blank" >RIV/00023752:_____/15:43914841 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00237334 RIV/68407700:21730/15:00237334
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7347063" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7347063</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347063" target="_blank" >10.1109/IWCIM.2015.7347063</a>

Result language
angličtina
Original language name
Sleep spindles detection using empirical mode decomposition
Original language description
Sleep spindles are very important EEG patterns in modern neuroscience. There were developed many spindle detection algorithms, but not all of them are suitable for patients with insomnia because of artifacts, movements and complicated spindle producing. The paper presents a spindle detection method based on proper preprocessing and classification of stationary segments using Naive Bayes classifier. Preprocessing was performed using Empirical Mode Decomposition, which decomposes the signal into trends. Trends rejecting from the signal gives filtered signal for feature processing. To evaluate the quality of proposed approach, F-measure, positive predicative value and true positive rating were calculated. The method shows good results on dataset of 11 insomniac patient: F-measure by sample was 40.72% and F-measure by events was 48.59%. The results were also compared with Martin, Molle, Wendt and Ferallelli methods.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Workshop on Computational Intelligence for Multimedia Understanding
ISBN
978-1-4673-8457-5
ISSN
—
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
New York
Event location
Prague, Czech Republic
Event date
Oct 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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