Adaptive Segmentation of Multimodal Polysomnography Data for Sleep Stages Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F17%3A10368335" target="_blank" >RIV/00216208:11150/17:10368335 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00318558 RIV/60461373:22340/17:43914783
Result on the web
<a href="http://dx.doi.org/10.1109/ICDSP.2017.8096108" target="_blank" >http://dx.doi.org/10.1109/ICDSP.2017.8096108</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDSP.2017.8096108" target="_blank" >10.1109/ICDSP.2017.8096108</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Segmentation of Multimodal Polysomnography Data for Sleep Stages Detection
Original language description
The paper presents a new algorithm for adaptive classification of sleep stages using multimodal data recorded on the sleep laboratory during overnight polysomnography records.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
22nd International Conference on Digital Signal Processing (DSP)
ISBN
978-1-5386-1895-0
ISSN
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e-ISSN
neuvedeno
Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
London
Event location
Londýn
Event date
Aug 23, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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