Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00194508" target="_blank" >RIV/68407700:21340/12:00194508 - isvavai.cz</a>

Alternative codes found

RIV/67985556:_____/12:00379312 RIV/68407700:21460/12:00194508 RIV/00064211:_____/12:#0000216

Result on the web

<a href="http://iopscience.iop.org/0967-3334/33/8/N39/" target="_blank" >http://iopscience.iop.org/0967-3334/33/8/N39/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/0967-3334/33/8/N39" target="_blank" >10.1088/0967-3334/33/8/N39</a>

Result language

angličtina

Original language name

Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions

Original language description

The goal of this paper is to describe a robust artifact removal (RAR) method, an automatic sequential procedure which is capable of removing short-duration, high-amplitude artifacts from long-term neonatal EEG recordings. Such artifacts are mainly causedby movement activity, and have an adverse effect on the automatic processing of long-term sleep recordings. The artifacts are removed sequentially in short-term signals using independent component analysis (ICA) transformation and wavelet denoising. Inorder to gain robustness of the RAR method, the whole EEG recording is processed multiple times. The resulting tentative reconstructions are then combined. We show results in a data set of signals from ten healthy newborns. Those results prove, both qualitatively and quantitatively, that the RAR method is capable of automatically rejecting the mentioned artifacts without changes in overall signal properties such as the spectrum. The method is shown to perform better than either the wavel

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

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2012

Confidentiality

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

Name of the periodical

Physiological Measurement

ISSN

0967-3334

e-ISSN

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Volume of the periodical

33

Issue of the periodical within the volume

8

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

"N39"-"N49"

UT code for WoS article

000306760300001

EID of the result in the Scopus database

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