Detail publikace
Sleep Scoring using Artificial Neural Networks
RONZHINA, M. JANOUŠEK, O. KOLÁŘOVÁ, J. NOVÁKOVÁ, M. HONZÍK, P. PROVAZNÍK, I.
Originální název
Sleep Scoring using Artificial Neural Networks
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
Rapid development of computer technologies leads to the intensive automation of many different processes traditionally performed by human experts. One of the spheres characterized by the introduction of new high intelligence technologies substituting analysis performed by humans is sleep scoring. This refers to the classification task and can be solved e next to other classification methods e by use of artificial neural networks (ANN). ANNs are parallel adaptive systems suitable for solving of nonlinear problems. Using ANN for automatic sleep scoring is especially promising because of new ANN learning algorithms allowing faster classification without decreasing the performance. Both appropriate preparation of training data as well as selection of the ANN model make it possible to perform effective and correct recognizing of relevant sleep stages. Such an approach is highly topical, taking into consideration the fact that there is no automatic scorer utilizing ANN technology available at present.
Klíčová slova
Polysomnographic data, Sleep scoring, Features extraction, Artificial neural networks
Autoři
RONZHINA, M.; JANOUŠEK, O.; KOLÁŘOVÁ, J.; NOVÁKOVÁ, M.; HONZÍK, P.; PROVAZNÍK, I.
Rok RIV
2012
Vydáno
1. 6. 2012
Nakladatel
Elsevier
ISSN
1087-0792
Periodikum
SLEEP MEDICINE REVIEWS
Ročník
2012
Číslo
16
Stát
Spojené království Velké Británie a Severního Irska
Strany od
251
Strany do
263
Strany počet
13
BibTex
@article{BUT73020,
author="Marina {Filipenská} and Oto {Janoušek} and Jana {Kolářová} and Marie {Nováková} and Petr {Honzík} and Valentine {Provazník}",
title="Sleep Scoring using Artificial Neural Networks",
journal="SLEEP MEDICINE REVIEWS",
year="2012",
volume="2012",
number="16",
pages="251--263",
issn="1087-0792"
}