Statistical evaluation of coherence estimated from optimally beamformed signals.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00209496" target="_blank" >RIV/68407700:21230/13:00209496 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.compbiomed.2013.06.010" target="_blank" >http://dx.doi.org/10.1016/j.compbiomed.2013.06.010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.compbiomed.2013.06.010" target="_blank" >10.1016/j.compbiomed.2013.06.010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical evaluation of coherence estimated from optimally beamformed signals.

Popis výsledku v původním jazyce

In this paper we investigate a situation where we want to perform a coherence analysis of two signal sources, one of which is measured directly, and the other is measured through a sensor array affected by noise. To extract the latter signal, we suggestthe use of the optimal beamforming with reference. We note, however, that this approach results in a coherence estimate that is noticeably biased, and cannot be evaluated by the known statistical tests. We therefore derive a new statistical test, that allows the evaluation of the biased coherence estimate. We illustrate the applicability of our methodology on the coherence analysis of EEG and EMG signals. We note that the suggested approach has several advantages over the surface Laplacian, which is a spatial filter commonly used in the EEG-EMG coherence analysis.

Název v anglickém jazyce

Statistical evaluation of coherence estimated from optimally beamformed signals.

Popis výsledku anglicky

In this paper we investigate a situation where we want to perform a coherence analysis of two signal sources, one of which is measured directly, and the other is measured through a sensor array affected by noise. To extract the latter signal, we suggestthe use of the optimal beamforming with reference. We note, however, that this approach results in a coherence estimate that is noticeably biased, and cannot be evaluated by the known statistical tests. We therefore derive a new statistical test, that allows the evaluation of the biased coherence estimate. We illustrate the applicability of our methodology on the coherence analysis of EEG and EMG signals. We note that the suggested approach has several advantages over the surface Laplacian, which is a spatial filter commonly used in the EEG-EMG coherence analysis.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

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Projekt

<a href="/cs/project/GPP102%2F11%2FP109" target="_blank" >GPP102/11/P109: Techniky prostorové filtrace pro elektroencefalografické záznamy s vysokou hustotou elektrod</a><br>

Návaznosti

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

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Computers in Biology and Medicine

ISSN

0010-4825

e-ISSN

—

Svazek periodika

43

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

7

Strana od-do

1286-1292

Kód UT WoS článku

000324154700021

EID výsledku v databázi Scopus

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