Methods for Removing of Line Noise Artifact from EEG Records with Minimization of Neural Information Loss

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F20%3A43920117" target="_blank" >RIV/00023752:_____/20:43920117 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21460/20:00336907

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-31635-8_22" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-31635-8_22</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-31635-8_22" target="_blank" >10.1007/978-3-030-31635-8_22</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Methods for Removing of Line Noise Artifact from EEG Records with Minimization of Neural Information Loss

Popis výsledku v původním jazyce

Line noise is artifact affecting a gamma band of the EEG. Conventional filters are used for removing the line noise artifact, but these filters, also remove physiological activity and could induce spurious oscillations. We tested two alternative methods for removing line noise artifact without removing a physiological activity, specifically Adaptive noise cancellation (ANC) method with Linear regression and modified Independent Component Analysis (ICA). We proposed a new protocol for statistical evaluation of line noise removal effectiveness. The line noise artifact was physically simulated and the protocol for statistical evaluation was verified. The ANC method shows good results according to statistical evaluation. The lowest residuum of simulated line noise artifact corresponds to 0.0005 Hz. Nevertheless, the ANC is very sensitive to the quality of the reference signal, which heavily depends on the reference electrode selection.

Název v anglickém jazyce

Methods for Removing of Line Noise Artifact from EEG Records with Minimization of Neural Information Loss

Popis výsledku anglicky

Line noise is artifact affecting a gamma band of the EEG. Conventional filters are used for removing the line noise artifact, but these filters, also remove physiological activity and could induce spurious oscillations. We tested two alternative methods for removing line noise artifact without removing a physiological activity, specifically Adaptive noise cancellation (ANC) method with Linear regression and modified Independent Component Analysis (ICA). We proposed a new protocol for statistical evaluation of line noise removal effectiveness. The line noise artifact was physically simulated and the protocol for statistical evaluation was verified. The ANC method shows good results according to statistical evaluation. The lowest residuum of simulated line noise artifact corresponds to 0.0005 Hz. Nevertheless, the ANC is very sensitive to the quality of the reference signal, which heavily depends on the reference electrode selection.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019; Coimbra; Portugal; 26 September 2019 through 28 September 2019

ISBN

978-3-030-31634-1

ISSN

1680-0737

e-ISSN

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Počet stran výsledku

9

Strana od-do

184-192

Název nakladatele

Springer Nature

Místo vydání

Switzerland

Místo konání akce

Coimbra, Portugal

Datum konání akce

26. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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