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Publication detail
KRÁLÍK, M. RONZHINA, M.
Original Title
PSG-based classification of sleep phases
English Title
Type
conference paper
Language
Czech
Original Abstract
This work is focused on classification of sleep phases using artificial neural network. The unconventional approach was used for calculation of classification features using polysomnographic data (PSG) of real patients. This approach allows to increase the time resolution of the analysis and, thus, to achieve more accurate results of classification.
English abstract
Keywords
polysomnography, sleep scoring, classification features, neural networks
Key words in English
Polysomnography, sleep scoring, classification features, neural networks
Authors
KRÁLÍK, M.; RONZHINA, M.
RIV year
2015
Released
3. 9. 2015
Publisher
VUT v Brně
Location
Brno, Česká republika
ISBN
978-80-214-5148-3
Book
Proceedings of the 21th Student Competition Conference
Edition number
první
Pages from
215
Pages to
217
Pages count
3
URL
http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sbornik-komplet_v2.pdf
BibTex
@inproceedings{BUT115887, author="Martin {Králík} and Marina {Filipenská}", title="PSG-based classification of sleep phases", booktitle="Proceedings of the 21th Student Competition Conference", year="2015", number="první", pages="215--217", publisher="VUT v Brně", address="Brno, Česká republika", isbn="978-80-214-5148-3", url="http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sbornik-komplet_v2.pdf" }