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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Comparing Two Computational Mechanisms for Explaining Functional Recovery in Robot-Therapy of Stroke Survivors</title><author><name sortKey="Piovesan, Davide" sort="Piovesan, Davide" uniqKey="Piovesan D" first="Davide" last="Piovesan">Davide Piovesan</name></author><author><name sortKey="Casadio, Maura" sort="Casadio, Maura" uniqKey="Casadio M" first="Maura" last="Casadio">Maura Casadio</name></author><author><name sortKey="Mussa Ivaldi, Ferdinando A" sort="Mussa Ivaldi, Ferdinando A" uniqKey="Mussa Ivaldi F" first="Ferdinando A." last="Mussa-Ivaldi">Ferdinando A. Mussa-Ivaldi</name></author><author><name sortKey="Morasso, Pietro" sort="Morasso, Pietro" uniqKey="Morasso P" first="Pietro" last="Morasso">Pietro Morasso</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26180655</idno><idno type="pmc">4500168</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4500168</idno><idno type="RBID">PMC:4500168</idno><idno type="doi">10.1109/BioRob.2012.6290914</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000413</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000413</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Comparing Two Computational Mechanisms for Explaining Functional Recovery in Robot-Therapy of Stroke Survivors</title><author><name sortKey="Piovesan, Davide" sort="Piovesan, Davide" uniqKey="Piovesan D" first="Davide" last="Piovesan">Davide Piovesan</name></author><author><name sortKey="Casadio, Maura" sort="Casadio, Maura" uniqKey="Casadio M" first="Maura" last="Casadio">Maura Casadio</name></author><author><name sortKey="Mussa Ivaldi, Ferdinando A" sort="Mussa Ivaldi, Ferdinando A" uniqKey="Mussa Ivaldi F" first="Ferdinando A." last="Mussa-Ivaldi">Ferdinando A. Mussa-Ivaldi</name></author><author><name sortKey="Morasso, Pietro" sort="Morasso, Pietro" uniqKey="Morasso P" first="Pietro" last="Morasso">Pietro Morasso</name></author></analytic><series><title level="j">Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics</title><idno type="ISSN">2155-1774</idno><idno type="eISSN">2155-1782</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">In this paper we discuss two possible strategies of movement control that can be used by stroke survivors during rehabilitation robotics training. To perform a reaching task in a minimally assistive force field, subjects either can move following the trajectory provided by the assistive force or they can use an internal representation of a minimum jerk trajectory from their starting position to the target. We used the stiffness and damping values directly estimated from the experimental data to simulate the trajectories that result by taking into account both hypotheses. The comparison of the simulated results with the data collected on four hemiparetic subjects supports the hypothesis that the central nervous system (CNS) is still able to correctly plan the movement, although a normal execution is impaired.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101521127</journal-id><journal-id journal-id-type="pubmed-jr-id">37005</journal-id><journal-id journal-id-type="nlm-ta">Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron</journal-id><journal-id journal-id-type="iso-abbrev">Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron</journal-id><journal-title-group><journal-title>Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics</journal-title></journal-title-group><issn pub-type="ppub">2155-1774</issn><issn pub-type="epub">2155-1782</issn></journal-meta><article-meta><article-id pub-id-type="pmid">26180655</article-id><article-id pub-id-type="pmc">4500168</article-id><article-id pub-id-type="doi">10.1109/BioRob.2012.6290914</article-id><article-id pub-id-type="manuscript">NIHMS705602</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Comparing Two Computational Mechanisms for Explaining Functional Recovery in Robot-Therapy of Stroke Survivors</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Piovesan</surname><given-names>Davide</given-names></name><email>d-piovesan@northwestern.edu</email><role>Member, IEEE</role><aff id="A1">Sensory Motor Performance Program at the Rehabilitation Institute of Chicago (SMPP-RIC), Chicago, IL 60611 USA (phone: 312-238-1225; fax: 312-238-2208)</aff></contrib><contrib contrib-type="author"><name><surname>Casadio</surname><given-names>Maura</given-names></name><email>maura.casadio@unige.it</email><role>Member, IEEE</role><aff id="A2">Dept of Informatics, Systems and Telematics, University of Genoa, Genoa, Italy</aff></contrib><contrib contrib-type="author"><name><surname>Mussa-Ivaldi</surname><given-names>Ferdinando A.</given-names></name><email>sandro@northwestern.edu</email><role>Member, IEEE</role><aff id="A3">Rehabilitation Institute of Chicago, and the Department of Physiology Northwestern University Chicago, IL 60611 USA</aff></contrib><contrib contrib-type="author"><name><surname>Morasso</surname><given-names>Pietro</given-names></name><email>pietro.morasso@iit.it</email><role>senior scientist</role><aff id="A4">Italian Institute of Technology, Dept. of Robotics, Brain and Cognitive Sciences, 16163 Genoa, Italy</aff></contrib></contrib-group><pub-date pub-type="nihms-submitted"><day>7</day><month>7</month><year>2015</year></pub-date><pub-date pub-type="ppub"><month>6</month><year>2012</year></pub-date><pub-date pub-type="pmc-release"><day>13</day><month>7</month><year>2015</year></pub-date><volume>2012</volume><fpage>1488</fpage><lpage>1493</lpage><pmc-comment>elocation-id from pubmed: 10.1109/BioRob.2012.6290914</pmc-comment>
<abstract><p id="P1">In this paper we discuss two possible strategies of movement control that can be used by stroke survivors during rehabilitation robotics training. To perform a reaching task in a minimally assistive force field, subjects either can move following the trajectory provided by the assistive force or they can use an internal representation of a minimum jerk trajectory from their starting position to the target. We used the stiffness and damping values directly estimated from the experimental data to simulate the trajectories that result by taking into account both hypotheses. The comparison of the simulated results with the data collected on four hemiparetic subjects supports the hypothesis that the central nervous system (CNS) is still able to correctly plan the movement, although a normal execution is impaired.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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