Self-evaluated automatic classifier as a decision-support tool for sleep/wake staging

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F11%3AA12011PR" target="_blank" >RIV/61988987:17450/11:A12011PR - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Self-evaluated automatic classifier as a decision-support tool for sleep/wake staging

Original language description

An automatic sleep/wake stages classifier that deals with the presence of artifacts and that provides a confidence index with each decision is proposed. The decision system is composed of two stages: the first stage checks the 20 s epoch of polysomnographic signals (EEG, EOG and EMG) for the presence of artifacts and selects the artifact-free signals. The second stage classifies the epoch using one classifier selected out of four, using feature inputs extracted from the artifact-free signals only. A confidence index is associated with each decision made, depending on the classifier used and on the class assigned, so that the user?s confidence in the automatic decision is increased. The two-stage system was tested on a large database of 46 night recordings.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

COMPUT BIOL MED

ISSN

0010-4825

e-ISSN

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Volume of the periodical

6

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

380-389

UT code for WoS article

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EID of the result in the Scopus database

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