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    <id>5102</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>193</pageFirst>
    <pageLast>205</pageLast>
    <pageNumber/>
    <edition/>
    <issue>September</issue>
    <volume>253</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>AMsterdam</publisherPlace>
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    <title language="eng">EMDLAB: A toolbox for analysis of single-trial EEG dynamics using empirical mode decomposition</title>
    <abstract language="eng">Background: &#13;
Empirical mode decomposition (EMD) is an empirical data decomposition technique. Recently there is growing interest in applying EMD in the biomedical field.&#13;
&#13;
New method: &#13;
EMDLAB is an extensible plug-in for the EEGLAB toolbox, which is an open software environment for electrophysiological data analysis.&#13;
&#13;
Results: &#13;
EMDLAB can be used to perform, easily and effectively, four common types of EMD: plain EMD, ensemble EMD (EEMD), weighted sliding EMD (wSEMD) and multivariate EMD (MEMD) on EEG data. In addition, EMDLAB is a user-friendly toolbox and closely implemented in the EEGLAB toolbox.&#13;
&#13;
Comparison with existing methods: &#13;
EMDLAB gains an advantage over other open-source toolboxes by exploiting the advantageous visualization capabilities of EEGLAB for extracted intrinsic mode functions (IMFs) and Event-Related Modes (ERMs) of the signal.&#13;
&#13;
Conclusions: &#13;
EMDLAB is a reliable, efficient, and automated solution for extracting and visualizing the extracted IMFs and ERMs by EMD algorithms in EEG study.</abstract>
    <parentTitle language="eng">Journal of Neuroscience Methods</parentTitle>
    <identifier type="pmid">26162614</identifier>
    <identifier type="doi">10.1016/j.jneumeth.2015.06.020</identifier>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Markus Goldhacker</author>
    <author>Karema Al-Subari</author>
    <author>Saad Al-Baddai</author>
    <author>Ana Maria Tomé</author>
    <author>Rupert Faltermeier</author>
    <author>Elmar Wolfgang Lang</author>
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    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="persons" number="goldhackerbics">Goldhacker, Markus (Prof. Dr.) - Brain-Computer Interface and Cognitive Systems Lab</collection>
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    <id>5364</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <title language="eng">EMDLAB-toolbox- tutorial video</title>
    <identifier type="url">https://www.researchgate.net/publication/280492172_EMDLAB-toolbox-_tutorial_video</identifier>
    <enrichment key="opus.import.date">2022-08-24T10:21:08+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Karema Al-Subari</author>
    <author>Saad Al-Baddai</author>
    <author>Ana Maria Tomé</author>
    <author>Markus Goldhacker</author>
    <author>Rupert Faltermeier</author>
    <author>Elmar Wolfgang Lang</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="persons" number="goldhackerbics">Goldhacker, Markus (Prof. Dr.) - Brain-Computer Interface and Cognitive Systems Lab</collection>
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