Protocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signals

dc.contributor.authorHenriques, Julie
dc.contributor.authorGabriel, Damien
dc.contributor.authorGrigoryeva, Lyudmila
dc.contributor.authorHaffen, Emmanuel
dc.contributor.authorMoulin, Thierry
dc.contributor.authorAubry, Régis
dc.contributor.authorPazart, Lionel
dc.contributor.authorOrtega, Juan-Pablo
dc.date.accessioned2018-01-22T14:32:41Z
dc.date.available2018-01-22T14:32:41Z
dc.date.issued2016-10eng
dc.description.abstractRecent studies have evidenced serious difficulties in detecting covert awareness with electroencephalography-based techniques both in unresponsive patients and in healthy control subjects. This work reproduces the protocol design in two recent mental imagery studies with a larger group comprising 20 healthy volunteers. The main goal is assessing if modifications in the signal extraction techniques, training-testing/cross-validation routines, and hypotheses evoked in the statistical analysis, can provide solutions to the serious difficulties documented in the literature. The lack of robustness in the results advises for further search of alternative protocols more suitable for machine learning classification and of better performing signal treatment techniques. Specific recommendations are made using the findings in this work.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1177/1550059414560397eng
dc.identifier.pmid25488924eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/41116
dc.language.isoengeng
dc.subject.ddc510eng
dc.titleProtocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signalseng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
@article{Henriques2016-10Proto-41116,
  year={2016},
  doi={10.1177/1550059414560397},
  title={Protocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signals},
  number={4},
  volume={47},
  issn={1550-0594},
  journal={Clinical EEG and Neuroscience},
  pages={266--275},
  author={Henriques, Julie and Gabriel, Damien and Grigoryeva, Lyudmila and Haffen, Emmanuel and Moulin, Thierry and Aubry, Régis and Pazart, Lionel and Ortega, Juan-Pablo}
}
kops.citation.iso690HENRIQUES, Julie, Damien GABRIEL, Lyudmila GRIGORYEVA, Emmanuel HAFFEN, Thierry MOULIN, Régis AUBRY, Lionel PAZART, Juan-Pablo ORTEGA, 2016. Protocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signals. In: Clinical EEG and Neuroscience. 2016, 47(4), pp. 266-275. ISSN 1550-0594. eISSN 2169-5202. Available under: doi: 10.1177/1550059414560397deu
kops.citation.iso690HENRIQUES, Julie, Damien GABRIEL, Lyudmila GRIGORYEVA, Emmanuel HAFFEN, Thierry MOULIN, Régis AUBRY, Lionel PAZART, Juan-Pablo ORTEGA, 2016. Protocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signals. In: Clinical EEG and Neuroscience. 2016, 47(4), pp. 266-275. ISSN 1550-0594. eISSN 2169-5202. Available under: doi: 10.1177/1550059414560397eng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/41116">
    <dcterms:title>Protocol Design Challenges in the Detection of Awareness in Aware Subjects Using EEG Signals</dcterms:title>
    <dc:contributor>Haffen, Emmanuel</dc:contributor>
    <dc:creator>Gabriel, Damien</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-01-22T14:32:41Z</dcterms:available>
    <dc:creator>Moulin, Thierry</dc:creator>
    <dc:creator>Henriques, Julie</dc:creator>
    <dc:creator>Ortega, Juan-Pablo</dc:creator>
    <dc:creator>Aubry, Régis</dc:creator>
    <dc:contributor>Ortega, Juan-Pablo</dc:contributor>
    <dc:contributor>Moulin, Thierry</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-01-22T14:32:41Z</dc:date>
    <dcterms:abstract xml:lang="eng">Recent studies have evidenced serious difficulties in detecting covert awareness with electroencephalography-based techniques both in unresponsive patients and in healthy control subjects. This work reproduces the protocol design in two recent mental imagery studies with a larger group comprising 20 healthy volunteers. The main goal is assessing if modifications in the signal extraction techniques, training-testing/cross-validation routines, and hypotheses evoked in the statistical analysis, can provide solutions to the serious difficulties documented in the literature. The lack of robustness in the results advises for further search of alternative protocols more suitable for machine learning classification and of better performing signal treatment techniques. Specific recommendations are made using the findings in this work.</dcterms:abstract>
    <dc:contributor>Henriques, Julie</dc:contributor>
    <dc:creator>Haffen, Emmanuel</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Grigoryeva, Lyudmila</dc:contributor>
    <dc:creator>Pazart, Lionel</dc:creator>
    <dc:contributor>Gabriel, Damien</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/>
    <dc:contributor>Pazart, Lionel</dc:contributor>
    <dc:contributor>Aubry, Régis</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39"/>
    <dcterms:issued>2016-10</dcterms:issued>
    <dc:creator>Grigoryeva, Lyudmila</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41116"/>
    <dc:language>eng</dc:language>
  </rdf:Description>
</rdf:RDF>
kops.flag.knbibliographytrue
kops.sourcefieldClinical EEG and Neuroscience. 2016, <b>47</b>(4), pp. 266-275. ISSN 1550-0594. eISSN 2169-5202. Available under: doi: 10.1177/1550059414560397deu
kops.sourcefield.plainClinical EEG and Neuroscience. 2016, 47(4), pp. 266-275. ISSN 1550-0594. eISSN 2169-5202. Available under: doi: 10.1177/1550059414560397deu
kops.sourcefield.plainClinical EEG and Neuroscience. 2016, 47(4), pp. 266-275. ISSN 1550-0594. eISSN 2169-5202. Available under: doi: 10.1177/1550059414560397eng
relation.isAuthorOfPublication3c317e6d-1d6f-49ea-829d-d991c1cb62cd
relation.isAuthorOfPublication.latestForDiscovery3c317e6d-1d6f-49ea-829d-d991c1cb62cd
source.bibliographicInfo.fromPage266eng
source.bibliographicInfo.issue4eng
source.bibliographicInfo.toPage275eng
source.bibliographicInfo.volume47eng
source.identifier.eissn2169-5202eng
source.identifier.issn1550-0594eng
source.periodicalTitleClinical EEG and Neuroscienceeng

Dateien