Statistical evaluation of coherence estimated from optimally beamformed signals.
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Statistical evaluation of coherence estimated from optimally beamformed signals.
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GPP102%2F11%2FP109" target="_blank" >GPP102/11/P109: Spatial Filtering Techniques for High Density Electroencephalographic Recordings</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers in Biology and Medicine
ISSN
0010-4825
e-ISSN
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Volume of the periodical
43
Issue of the periodical within the volume
9
Country of publishing house
GB - UNITED KINGDOM
Number of pages
7
Pages from-to
1286-1292
UT code for WoS article
000324154700021
EID of the result in the Scopus database
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