Adaptive Segmentation Optimization for Sleep Spindle Detector
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00307027" target="_blank" >RIV/68407700:21730/16:00307027 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/16:00307027 RIV/68407700:21230/16:00307027
Result on the web
<a href="http://80.link.springer.com.dialog.cvut.cz/chapter/10.1007/978-3-319-43949-5_6" target="_blank" >http://80.link.springer.com.dialog.cvut.cz/chapter/10.1007/978-3-319-43949-5_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-43949-5_6" target="_blank" >10.1007/978-3-319-43949-5_6</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Segmentation Optimization for Sleep Spindle Detector
Original language description
Segmentation is a crucial part of the signal processing as it has a significant influence on further analysis quality. Adaptive segmentation based on sliding windows is relatively simple, works quite good and can work online. It has however many tunable parameters whose proper values depend on the task and signal type. The paper proposes a method of defining optimal parameters for detection of sleep spindles in electroencephalogram. Segmentation algorithm based on Varri method was utilized. Fitness function was proposed for estimation of agreement between the segmentation result and borders of the target classification. Particle swarm optimization was used to find optimal parameters. On the data of 11 insomniac subjects the method reached 28% improvement in comparison to the baseline method using default parameters.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP13-21696P" target="_blank" >GP13-21696P: Feature selection for temporal context aware models of multivariate time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-319-43948-8
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
85-96
Publisher name
Springer
Place of publication
Basel
Event location
Porto
Event date
Sep 5, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389336800006