Detecting Sleep Spindles Using Entropy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F21%3A00344976" target="_blank" >RIV/68407700:21460/21:00344976 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/21:00344976 RIV/00023752:_____/21:43920491
Result on the web
<a href="https://doi.org/10.1007/978-3-030-64610-3_41" target="_blank" >https://doi.org/10.1007/978-3-030-64610-3_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-64610-3_41" target="_blank" >10.1007/978-3-030-64610-3_41</a>
Alternative languages
Result language
angličtina
Original language name
Detecting Sleep Spindles Using Entropy
Original language description
Sleep spindles are bursts of brain activity during sleep. They occur during the NREM2 stage of sleep and appear as fluctuations in electric recordings, looking like yarn spindles. This increase of activity can be detected by complexity measures, the most popular of which are the entropy based estimations. In this paper, we use entropy to measure the brain activity during sleep spindle and non-spindle periods and discriminate them employing the machine learning technology. Two are the main outcomes of this work: a) we show that it is possible to achieve remarkable classification performance when detecting sleep spindles with entropy based measures and machine learning techniques, presenting classification accuracy of more than 95 % and (b) we report that bubble entropy, a recently introduced definition of entropy, presented the lowest p-value of all examined features.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-20480S" target="_blank" >GA17-20480S: Temporal context in analysis of long-term non-stationary multidimensional signal</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th European Medical and Biological Engineering Conference
ISBN
978-3-030-64609-7
ISSN
1680-0737
e-ISSN
1433-9277
Number of pages
7
Pages from-to
356-362
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Portorož
Event date
Nov 29, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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