Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.
Identifieur interne : 000405 ( Main/Curation ); précédent : 000404; suivant : 000406Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.
Auteurs : Jantsje H. Pasma [Pays-Bas] ; Lorenz Assl Nder [Allemagne] ; Joost Van Kordelaar [Pays-Bas] ; Digna De Kam [Pays-Bas] ; Thomas Mergner [Allemagne] ; Alfred C. Schouten [Pays-Bas]Source :
- Frontiers in computational neuroscience [ 1662-5188 ] ; 2018.
Abstract
The Independent Channel (IC) model is a commonly used linear balance control model in the frequency domain to analyze human balance control using system identification and parameter estimation. The IC model is a rudimentary and noise-free description of balance behavior in the frequency domain, where a stable model representation is not guaranteed. In this study, we conducted firstly time-domain simulations with added noise, and secondly robot experiments by implementing the IC model in a real-world robot (PostuRob II) to test the validity and stability of the model in the time domain and for real world situations. Balance behavior of seven healthy participants was measured during upright stance by applying pseudorandom continuous support surface rotations. System identification and parameter estimation were used to describe the balance behavior with the IC model in the frequency domain. The IC model with the estimated parameters from human experiments was implemented in Simulink for computer simulations including noise in the time domain and robot experiments using the humanoid robot PostuRob II. Again, system identification and parameter estimation were used to describe the simulated balance behavior. Time series, Frequency Response Functions, and estimated parameters from human experiments, computer simulations, and robot experiments were compared with each other. The computer simulations showed similar balance behavior and estimated control parameters compared to the human experiments, in the time and frequency domain. Also, the IC model was able to control the humanoid robot by keeping it upright, but showed small differences compared to the human experiments in the time and frequency domain, especially at high frequencies. We conclude that the IC model, a descriptive model in the frequency domain, can imitate human balance behavior also in the time domain, both in computer simulations with added noise and real world situations with a humanoid robot. This provides further evidence that the IC model is a valid description of human balance control.
DOI: 10.3389/fncom.2018.00013
PubMed: 29615886
PubMed Central: PMC5869934
Links toward previous steps (curation, corpus...)
- to stream Main, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000405
Links to Exploration step
pubmed:29615886Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.</title>
<author><name sortKey="Pasma, Jantsje H" sort="Pasma, Jantsje H" uniqKey="Pasma J" first="Jantsje H" last="Pasma">Jantsje H. Pasma</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Assl Nder, Lorenz" sort="Assl Nder, Lorenz" uniqKey="Assl Nder L" first="Lorenz" last="Assl Nder">Lorenz Assl Nder</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Neurology, University Clinics Freiburg, Freiburg</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Sensorimotor Performance Lab, University of Konstanz, Konstanz, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Sensorimotor Performance Lab, University of Konstanz, Konstanz</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Van Kordelaar, Joost" sort="Van Kordelaar, Joost" uniqKey="Van Kordelaar J" first="Joost" last="Van Kordelaar">Joost Van Kordelaar</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="De Kam, Digna" sort="De Kam, Digna" uniqKey="De Kam D" first="Digna" last="De Kam">Digna De Kam</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Rehabilitation, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Rehabilitation, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Mergner, Thomas" sort="Mergner, Thomas" uniqKey="Mergner T" first="Thomas" last="Mergner">Thomas Mergner</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Neurology, University Clinics Freiburg, Freiburg</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Schouten, Alfred C" sort="Schouten, Alfred C" uniqKey="Schouten A" first="Alfred C" last="Schouten">Alfred C. Schouten</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2018">2018</date>
<idno type="RBID">pubmed:29615886</idno>
<idno type="pmid">29615886</idno>
<idno type="doi">10.3389/fncom.2018.00013</idno>
<idno type="pmc">PMC5869934</idno>
<idno type="wicri:Area/Main/Corpus">000405</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000405</idno>
<idno type="wicri:Area/Main/Curation">000405</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000405</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.</title>
<author><name sortKey="Pasma, Jantsje H" sort="Pasma, Jantsje H" uniqKey="Pasma J" first="Jantsje H" last="Pasma">Jantsje H. Pasma</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Assl Nder, Lorenz" sort="Assl Nder, Lorenz" uniqKey="Assl Nder L" first="Lorenz" last="Assl Nder">Lorenz Assl Nder</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Neurology, University Clinics Freiburg, Freiburg</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Sensorimotor Performance Lab, University of Konstanz, Konstanz, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Sensorimotor Performance Lab, University of Konstanz, Konstanz</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Van Kordelaar, Joost" sort="Van Kordelaar, Joost" uniqKey="Van Kordelaar J" first="Joost" last="Van Kordelaar">Joost Van Kordelaar</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="De Kam, Digna" sort="De Kam, Digna" uniqKey="De Kam D" first="Digna" last="De Kam">Digna De Kam</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Rehabilitation, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Rehabilitation, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Mergner, Thomas" sort="Mergner, Thomas" uniqKey="Mergner T" first="Thomas" last="Mergner">Thomas Mergner</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Neurology, University Clinics Freiburg, Freiburg</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Schouten, Alfred C" sort="Schouten, Alfred C" uniqKey="Schouten A" first="Alfred C" last="Schouten">Alfred C. Schouten</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</nlm:affiliation>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series><title level="j">Frontiers in computational neuroscience</title>
<idno type="ISSN">1662-5188</idno>
<imprint><date when="2018" type="published">2018</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The Independent Channel (IC) model is a commonly used linear balance control model in the frequency domain to analyze human balance control using system identification and parameter estimation. The IC model is a rudimentary and noise-free description of balance behavior in the frequency domain, where a stable model representation is not guaranteed. In this study, we conducted firstly time-domain simulations with added noise, and secondly robot experiments by implementing the IC model in a real-world robot (PostuRob II) to test the validity and stability of the model in the time domain and for real world situations. Balance behavior of seven healthy participants was measured during upright stance by applying pseudorandom continuous support surface rotations. System identification and parameter estimation were used to describe the balance behavior with the IC model in the frequency domain. The IC model with the estimated parameters from human experiments was implemented in Simulink for computer simulations including noise in the time domain and robot experiments using the humanoid robot PostuRob II. Again, system identification and parameter estimation were used to describe the simulated balance behavior. Time series, Frequency Response Functions, and estimated parameters from human experiments, computer simulations, and robot experiments were compared with each other. The computer simulations showed similar balance behavior and estimated control parameters compared to the human experiments, in the time and frequency domain. Also, the IC model was able to control the humanoid robot by keeping it upright, but showed small differences compared to the human experiments in the time and frequency domain, especially at high frequencies. We conclude that the IC model, a descriptive model in the frequency domain, can imitate human balance behavior also in the time domain, both in computer simulations with added noise and real world situations with a humanoid robot. This provides further evidence that the IC model is a valid description of human balance control.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">29615886</PMID>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>30</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1662-5188</ISSN>
<JournalIssue CitedMedium="Print"><Volume>12</Volume>
<PubDate><Year>2018</Year>
</PubDate>
</JournalIssue>
<Title>Frontiers in computational neuroscience</Title>
<ISOAbbreviation>Front Comput Neurosci</ISOAbbreviation>
</Journal>
<ArticleTitle>Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.</ArticleTitle>
<Pagination><MedlinePgn>13</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.3389/fncom.2018.00013</ELocationID>
<Abstract><AbstractText>The Independent Channel (IC) model is a commonly used linear balance control model in the frequency domain to analyze human balance control using system identification and parameter estimation. The IC model is a rudimentary and noise-free description of balance behavior in the frequency domain, where a stable model representation is not guaranteed. In this study, we conducted firstly time-domain simulations with added noise, and secondly robot experiments by implementing the IC model in a real-world robot (PostuRob II) to test the validity and stability of the model in the time domain and for real world situations. Balance behavior of seven healthy participants was measured during upright stance by applying pseudorandom continuous support surface rotations. System identification and parameter estimation were used to describe the balance behavior with the IC model in the frequency domain. The IC model with the estimated parameters from human experiments was implemented in Simulink for computer simulations including noise in the time domain and robot experiments using the humanoid robot PostuRob II. Again, system identification and parameter estimation were used to describe the simulated balance behavior. Time series, Frequency Response Functions, and estimated parameters from human experiments, computer simulations, and robot experiments were compared with each other. The computer simulations showed similar balance behavior and estimated control parameters compared to the human experiments, in the time and frequency domain. Also, the IC model was able to control the humanoid robot by keeping it upright, but showed small differences compared to the human experiments in the time and frequency domain, especially at high frequencies. We conclude that the IC model, a descriptive model in the frequency domain, can imitate human balance behavior also in the time domain, both in computer simulations with added noise and real world situations with a humanoid robot. This provides further evidence that the IC model is a valid description of human balance control.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pasma</LastName>
<ForeName>Jantsje H</ForeName>
<Initials>JH</Initials>
<AffiliationInfo><Affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Assländer</LastName>
<ForeName>Lorenz</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Sensorimotor Performance Lab, University of Konstanz, Konstanz, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>van Kordelaar</LastName>
<ForeName>Joost</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>de Kam</LastName>
<ForeName>Digna</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department of Rehabilitation, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mergner</LastName>
<ForeName>Thomas</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Department of Neurology, University Clinics Freiburg, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schouten</LastName>
<ForeName>Alfred C</ForeName>
<Initials>AC</Initials>
<AffiliationInfo><Affiliation>Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Biomechanical Engineering, Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, Enschede, Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2018</Year>
<Month>03</Month>
<Day>20</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Switzerland</Country>
<MedlineTA>Front Comput Neurosci</MedlineTA>
<NlmUniqueID>101477956</NlmUniqueID>
<ISSNLinking>1662-5188</ISSNLinking>
</MedlineJournalInfo>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">balance control model</Keyword>
<Keyword MajorTopicYN="N">human balance control</Keyword>
<Keyword MajorTopicYN="N">parameter estimation</Keyword>
<Keyword MajorTopicYN="N">robotics</Keyword>
<Keyword MajorTopicYN="N">system identification</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year>
<Month>08</Month>
<Day>23</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2018</Year>
<Month>02</Month>
<Day>26</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2018</Year>
<Month>4</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2018</Year>
<Month>4</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2018</Year>
<Month>4</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>1</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">29615886</ArticleId>
<ArticleId IdType="doi">10.3389/fncom.2018.00013</ArticleId>
<ArticleId IdType="pmc">PMC5869934</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Crit Rev Biomed Eng. 1991;18(6):413-37</Citation>
<ArticleIdList><ArticleId IdType="pubmed">1855384</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Med Prog Technol. 1990 May;16(1-2):31-51</Citation>
<ArticleIdList><ArticleId IdType="pubmed">2138696</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurophysiol. 2002 Sep;88(3):1097-118</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12205132</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Syst Neurosci. 2016 Mar 11;10:22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27013990</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>IEEE Trans Neural Syst Rehabil Eng. 2015 Nov;23(6):973-82</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25423654</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Exp Brain Res. 1993;95(2):308-18</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8224055</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>IEEE Eng Med Biol Mag. 2003 Mar-Apr;22(2):63-8</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12733461</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Am Med Dir Assoc. 2014 Mar;15(3):227.e1-227.e6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24220138</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Comput Neurosci. 2011 Jun;30(3):759-78</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21161357</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Prog Brain Res. 2003;142:189-201</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12693262</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neuroeng Rehabil. 2013 Feb 22;10:23</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23433148</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Comput Methods Biomech Biomed Engin. 2012;15(10):1053-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21598131</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurophysiol. 2015 Dec;114(6):3220-33</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26424578</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurosci. 2011 Oct 19;31(42):15144-53</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22016548</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurosci Methods. 2005 Jun 30;145(1-2):175-203</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15922036</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurophysiol. 2012 Aug;108(4):1138-48</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22623486</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>IEEE Trans Neural Syst Rehabil Eng. 2011 Dec;19(6):660-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21859606</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Biomech. 2015 May 1;48(7):1258-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25843262</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurophysiol. 2006 May;95(5):2733-50</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16467429</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Neurophysiol. 2016 Mar;115(3):1422-35</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26719084</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Neurorobot. 2017 Apr 25;11:22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28487646</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Hum Mov Sci. 2015 Jun;41:147-64</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25816794</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Hum Mov Sci. 2014 Oct;37:123-46</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25150802</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Physiol Paris. 2009 Sep-Dec;103(3-5):178-94</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19665555</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Aging Neurosci. 2015 Jun 23;7:97</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26157386</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Exp Brain Res. 2006 May;171(2):231-50</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16307252</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PosturoV1/Data/Main/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000405 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Curation/biblio.hfd -nk 000405 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= PosturoV1 |flux= Main |étape= Curation |type= RBID |clé= pubmed:29615886 |texte= Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Curation/RBID.i -Sk "pubmed:29615886" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Curation/biblio.hfd \ | NlmPubMed2Wicri -a PosturoV1
![]() | This area was generated with Dilib version V0.6.37. | ![]() |