Classification of Fetal Heart Rate Signals Based on Features Selected Using the Binary Particle Swarm Algorith
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A00127398" target="_blank" >RIV/68407700:21230/06:00127398 - 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
Classification of Fetal Heart Rate Signals Based on Features Selected Using the Binary Particle Swarm Algorith
Original language description
The objective of this study is the investigation of a novel feature selection method based on the implementation of the binary Particle Swarm Algorithm and its application to the demanding problem of the classification of Fetal Heart Rate signals duringthe intrapartum period. The results are promising paving the way for more research towards the improvement of the proposed algorithm.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFMBE Proceedings World Congress on Medical Physics and Biomedical Engineering 2006
ISBN
3-540-36839-6
ISSN
1727-1983
e-ISSN
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Number of pages
4
Pages from-to
1049-1052
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Seoul
Event date
Aug 27, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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