Stabilization strategies for unstable dynamics.
Identifieur interne : 003487 ( Ncbi/Merge ); précédent : 003486; suivant : 003488Stabilization strategies for unstable dynamics.
Auteurs : Pietro Morasso [Italie] ; Maura Casadio [Italie] ; Dalia De Santis [Italie] ; Taishin Nomura [Japon] ; Francesco Rea [Italie] ; Jacopo Zenzeri [Italie]Source :
- Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology [ 1873-5711 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- physiology : Feedback, Physiological, Muscle, Skeletal, Posture.
- trends : Computer Simulation.
- Animals, Humans.
Abstract
The stabilization of the human standing posture was originally attributed to the stiffness of the ankle muscles but direct measurements of the ankle stiffness ruled out this hypothesis, leaving open the possibility for a feedback stabilization strategy driven by proprioceptive signals. This solution, however, could be implemented with two different kinds of control mechanisms, namely continuous or intermittent feedback. The debate is now settled and the latter solution seems to be the most plausible one. Moreover, stabilization of unstable dynamics is not limited to bipedal standing. Indeed many manipulation tasks can be described in the same framework and thus a very general protocol for addressing this kind of problems is the use of haptic virtual reality where instability is generated by some kind of divergent or saddle-like force field. Several studies demonstrated that human subjects can choose to adopt a stiffness or feedback strategy as a combination of biomechanical and task constraints and can learn to switch from one strategy to the other if it is feasible or to use one or the other is infeasible. Understanding such mechanisms is relevant, for example, for the design of novel ergonomic man-machine interfaces in difficult, unstable tasks.
DOI: 10.1016/j.jelekin.2014.10.006
PubMed: 25453479
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Electronic address: pietro.morasso@iit.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa</wicri:regionArea><wicri:noRegion>Genoa</wicri:noRegion></affiliation></author><author><name sortKey="Casadio, Maura" sort="Casadio, Maura" uniqKey="Casadio M" first="Maura" last="Casadio">Maura Casadio</name><affiliation wicri:level="1"><nlm:affiliation>University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Genoa, Italy. Electronic address: maura.casadio@unige.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Genoa</wicri:regionArea><wicri:noRegion>Genoa</wicri:noRegion></affiliation></author><author><name sortKey="De Santis, Dalia" sort="De Santis, Dalia" uniqKey="De Santis D" first="Dalia" last="De Santis">Dalia De Santis</name><affiliation wicri:level="1"><nlm:affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: dalia.desantis@iit.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa</wicri:regionArea><wicri:noRegion>Genoa</wicri:noRegion></affiliation></author><author><name sortKey="Nomura, Taishin" sort="Nomura, Taishin" uniqKey="Nomura T" first="Taishin" last="Nomura">Taishin Nomura</name><affiliation wicri:level="1"><nlm:affiliation>Department of Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan. Electronic address: taishin@bpe.es.osaka-u.ac.jp.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka</wicri:regionArea><wicri:noRegion>Toyonaka</wicri:noRegion></affiliation></author><author><name sortKey="Rea, Francesco" sort="Rea, Francesco" uniqKey="Rea F" first="Francesco" last="Rea">Francesco Rea</name><affiliation wicri:level="1"><nlm:affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: Francesco.rea@iit.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa</wicri:regionArea><wicri:noRegion>Genoa</wicri:noRegion></affiliation></author><author><name sortKey="Zenzeri, Jacopo" sort="Zenzeri, Jacopo" uniqKey="Zenzeri J" first="Jacopo" last="Zenzeri">Jacopo Zenzeri</name><affiliation wicri:level="1"><nlm:affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: jacopo.zenzeri@iit.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa</wicri:regionArea><wicri:noRegion>Genoa</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology</title><idno type="eISSN">1873-5711</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Computer Simulation (trends)</term><term>Feedback, Physiological (physiology)</term><term>Humans</term><term>Muscle, Skeletal (physiology)</term><term>Posture (physiology)</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Feedback, Physiological</term><term>Muscle, Skeletal</term><term>Posture</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Computer Simulation</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Humans</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The stabilization of the human standing posture was originally attributed to the stiffness of the ankle muscles but direct measurements of the ankle stiffness ruled out this hypothesis, leaving open the possibility for a feedback stabilization strategy driven by proprioceptive signals. This solution, however, could be implemented with two different kinds of control mechanisms, namely continuous or intermittent feedback. The debate is now settled and the latter solution seems to be the most plausible one. Moreover, stabilization of unstable dynamics is not limited to bipedal standing. Indeed many manipulation tasks can be described in the same framework and thus a very general protocol for addressing this kind of problems is the use of haptic virtual reality where instability is generated by some kind of divergent or saddle-like force field. Several studies demonstrated that human subjects can choose to adopt a stiffness or feedback strategy as a combination of biomechanical and task constraints and can learn to switch from one strategy to the other if it is feasible or to use one or the other is infeasible. Understanding such mechanisms is relevant, for example, for the design of novel ergonomic man-machine interfaces in difficult, unstable tasks.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">25453479</PMID><DateCreated><Year>2014</Year><Month>12</Month><Day>03</Day></DateCreated><DateCompleted><Year>2015</Year><Month>07</Month><Day>17</Day></DateCompleted><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-5711</ISSN><JournalIssue CitedMedium="Internet"><Volume>24</Volume><Issue>6</Issue><PubDate><Year>2014</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology</Title><ISOAbbreviation>J Electromyogr Kinesiol</ISOAbbreviation></Journal><ArticleTitle>Stabilization strategies for unstable dynamics.</ArticleTitle><Pagination><MedlinePgn>803-14</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jelekin.2014.10.006</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1050-6411(14)00203-X</ELocationID><Abstract><AbstractText>The stabilization of the human standing posture was originally attributed to the stiffness of the ankle muscles but direct measurements of the ankle stiffness ruled out this hypothesis, leaving open the possibility for a feedback stabilization strategy driven by proprioceptive signals. This solution, however, could be implemented with two different kinds of control mechanisms, namely continuous or intermittent feedback. The debate is now settled and the latter solution seems to be the most plausible one. Moreover, stabilization of unstable dynamics is not limited to bipedal standing. Indeed many manipulation tasks can be described in the same framework and thus a very general protocol for addressing this kind of problems is the use of haptic virtual reality where instability is generated by some kind of divergent or saddle-like force field. Several studies demonstrated that human subjects can choose to adopt a stiffness or feedback strategy as a combination of biomechanical and task constraints and can learn to switch from one strategy to the other if it is feasible or to use one or the other is infeasible. Understanding such mechanisms is relevant, for example, for the design of novel ergonomic man-machine interfaces in difficult, unstable tasks.</AbstractText><CopyrightInformation>Copyright © 2014 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Morasso</LastName><ForeName>Pietro</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: pietro.morasso@iit.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Casadio</LastName><ForeName>Maura</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Genoa, Italy. Electronic address: maura.casadio@unige.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>De Santis</LastName><ForeName>Dalia</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: dalia.desantis@iit.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nomura</LastName><ForeName>Taishin</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan. Electronic address: taishin@bpe.es.osaka-u.ac.jp.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rea</LastName><ForeName>Francesco</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: Francesco.rea@iit.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zenzeri</LastName><ForeName>Jacopo</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Istituto Italiano di Tecnologia, Department of Robotics, Brain and Cognitive Sciences, Genoa, Italy. Electronic address: jacopo.zenzeri@iit.it.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>10</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Electromyogr Kinesiol</MedlineTA><NlmUniqueID>9109125</NlmUniqueID><ISSNLinking>1050-6411</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000818">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000639">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D025461">Feedback, Physiological</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018482">Muscle, Skeletal</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011187">Posture</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Control strategies</Keyword><Keyword MajorTopicYN="N">Intermittent feedback control</Keyword><Keyword MajorTopicYN="N">Motor cognition</Keyword><Keyword MajorTopicYN="N">Motor control</Keyword><Keyword MajorTopicYN="N">Stiffness control</Keyword><Keyword MajorTopicYN="N">Unstable tasks</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>7</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>9</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>10</Month><Day>8</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2014</Year><Month>10</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>12</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>12</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>7</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S1050-6411(14)00203-X</ArticleId><ArticleId IdType="doi">10.1016/j.jelekin.2014.10.006</ArticleId><ArticleId IdType="pubmed">25453479</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Italie</li><li>Japon</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Morasso, Pietro" sort="Morasso, Pietro" uniqKey="Morasso P" first="Pietro" last="Morasso">Pietro Morasso</name></noRegion><name sortKey="Casadio, Maura" sort="Casadio, Maura" uniqKey="Casadio M" first="Maura" last="Casadio">Maura Casadio</name><name sortKey="De Santis, Dalia" sort="De Santis, Dalia" uniqKey="De Santis D" first="Dalia" last="De Santis">Dalia De Santis</name><name sortKey="Rea, Francesco" sort="Rea, Francesco" uniqKey="Rea F" first="Francesco" last="Rea">Francesco Rea</name><name sortKey="Zenzeri, Jacopo" sort="Zenzeri, Jacopo" uniqKey="Zenzeri J" first="Jacopo" last="Zenzeri">Jacopo Zenzeri</name></country><country name="Japon"><noRegion><name sortKey="Nomura, Taishin" sort="Nomura, Taishin" uniqKey="Nomura T" first="Taishin" last="Nomura">Taishin Nomura</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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