Robot-amplified manual exploration improves load identification
Identifieur interne : 003A81 ( Ncbi/Merge ); précédent : 003A80; suivant : 003A82Robot-amplified manual exploration improves load identification
Auteurs : F. C. Huang ; J. L. Patton ; F. A. Mussa-IvaldiSource :
- IFMBE proceedings [ 1680-0737 ] ; 2009.
Abstract
We tested how manual exploration with anisotropic loading (
Url:
DOI: 10.1007/978-3-642-03889-1_90
PubMed: 26167170
PubMed Central: 4498565
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<author><name sortKey="Huang, F C" sort="Huang, F C" uniqKey="Huang F" first="F. C." last="Huang">F. C. Huang</name>
<affiliation><nlm:aff id="A1">Sensory Motor Performance Program, Rehabilitation Institute of Chicago</nlm:aff>
<wicri:noCountry code="subfield">Rehabilitation Institute of Chicago</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Patton, J L" sort="Patton, J L" uniqKey="Patton J" first="J. L." last="Patton">J. L. Patton</name>
<affiliation><nlm:aff id="A2">Bioengineering, University of Illinois at Chicago</nlm:aff>
<wicri:noCountry code="subfield">University of Illinois at Chicago</wicri:noCountry>
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</author>
<author><name sortKey="Mussa Ivaldi, F A" sort="Mussa Ivaldi, F A" uniqKey="Mussa Ivaldi F" first="F. A." last="Mussa-Ivaldi">F. A. Mussa-Ivaldi</name>
<affiliation><nlm:aff id="A3">Physical Medicine and Rehabilitation, Mechanical and Biomedical Engineering, Northwestern University</nlm:aff>
<wicri:noCountry code="subfield">Northwestern University</wicri:noCountry>
</affiliation>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Robot-amplified manual exploration improves load identification</title>
<author><name sortKey="Huang, F C" sort="Huang, F C" uniqKey="Huang F" first="F. C." last="Huang">F. C. Huang</name>
<affiliation><nlm:aff id="A1">Sensory Motor Performance Program, Rehabilitation Institute of Chicago</nlm:aff>
<wicri:noCountry code="subfield">Rehabilitation Institute of Chicago</wicri:noCountry>
</affiliation>
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<author><name sortKey="Patton, J L" sort="Patton, J L" uniqKey="Patton J" first="J. L." last="Patton">J. L. Patton</name>
<affiliation><nlm:aff id="A2">Bioengineering, University of Illinois at Chicago</nlm:aff>
<wicri:noCountry code="subfield">University of Illinois at Chicago</wicri:noCountry>
</affiliation>
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<author><name sortKey="Mussa Ivaldi, F A" sort="Mussa Ivaldi, F A" uniqKey="Mussa Ivaldi F" first="F. A." last="Mussa-Ivaldi">F. A. Mussa-Ivaldi</name>
<affiliation><nlm:aff id="A3">Physical Medicine and Rehabilitation, Mechanical and Biomedical Engineering, Northwestern University</nlm:aff>
<wicri:noCountry code="subfield">Northwestern University</wicri:noCountry>
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<front><div type="abstract" xml:lang="en"><p id="P1">We tested how manual exploration with anisotropic loading (<italic>Viscosity-Only</italic>
(negative), <italic>Inertia-Only</italic>
, or <italic>Combined-Load</italic>
) influenced skill transfer to the isolated inertial load. Intact subjects (N=39) performed manual exploration with an anisotropic load before evaluation with prescribed circular movements. Combined-Load resulted in lower error (6.89±3.25%) compared to Inertia-Only (8.40±4.32%) and Viscosity-Only (8.17±4.13%) according to radial deviation analysis (% of trial mean radius). An analysis of sensitivity to load variation in normal and catch trials reveals performance differences were likely due to changes in feedforward mass compensation. Analysis of exploration movement revealed higher average speeds (12.0%) and endpoint forces (22.9%) with <italic>Combined-Load</italic>
exploration compared to <italic>Inertia-Only</italic>
. Our findings suggest that free movements amplified by negative viscosity can enhance the ability to identify changes in inertial loading.</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">101270746</journal-id>
<journal-id journal-id-type="pubmed-jr-id">32858</journal-id>
<journal-id journal-id-type="nlm-ta">IFMBE Proc</journal-id>
<journal-id journal-id-type="iso-abbrev">IFMBE Proc</journal-id>
<journal-title-group><journal-title>IFMBE proceedings</journal-title>
</journal-title-group>
<issn pub-type="ppub">1680-0737</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">26167170</article-id>
<article-id pub-id-type="pmc">4498565</article-id>
<article-id pub-id-type="doi">10.1007/978-3-642-03889-1_90</article-id>
<article-id pub-id-type="manuscript">NIHMS705610</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
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<title-group><article-title>Robot-amplified manual exploration improves load identification</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Huang</surname>
<given-names>F.C.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Patton</surname>
<given-names>J.L.</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Mussa-Ivaldi</surname>
<given-names>F.A.</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Sensory Motor Performance Program, Rehabilitation Institute of Chicago</aff>
<aff id="A2"><label>2</label>
Bioengineering, University of Illinois at Chicago</aff>
<aff id="A3"><label>3</label>
Physical Medicine and Rehabilitation, Mechanical and Biomedical Engineering, Northwestern University</aff>
<pub-date pub-type="nihms-submitted"><day>7</day>
<month>7</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="ppub"><month>9</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>10</day>
<month>7</month>
<year>2015</year>
</pub-date>
<volume>25</volume>
<issue>9</issue>
<fpage>335</fpage>
<lpage>338</lpage>
<pmc-comment>elocation-id from pubmed: 10.1007/978-3-642-03889-1_90</pmc-comment>
<abstract><p id="P1">We tested how manual exploration with anisotropic loading (<italic>Viscosity-Only</italic>
(negative), <italic>Inertia-Only</italic>
, or <italic>Combined-Load</italic>
) influenced skill transfer to the isolated inertial load. Intact subjects (N=39) performed manual exploration with an anisotropic load before evaluation with prescribed circular movements. Combined-Load resulted in lower error (6.89±3.25%) compared to Inertia-Only (8.40±4.32%) and Viscosity-Only (8.17±4.13%) according to radial deviation analysis (% of trial mean radius). An analysis of sensitivity to load variation in normal and catch trials reveals performance differences were likely due to changes in feedforward mass compensation. Analysis of exploration movement revealed higher average speeds (12.0%) and endpoint forces (22.9%) with <italic>Combined-Load</italic>
exploration compared to <italic>Inertia-Only</italic>
. Our findings suggest that free movements amplified by negative viscosity can enhance the ability to identify changes in inertial loading.</p>
</abstract>
<kwd-group><kwd>manual control</kwd>
<kwd>systems modeling</kwd>
<kwd>error-augmentation</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations><list></list>
<tree><noCountry><name sortKey="Huang, F C" sort="Huang, F C" uniqKey="Huang F" first="F. C." last="Huang">F. C. Huang</name>
<name sortKey="Mussa Ivaldi, F A" sort="Mussa Ivaldi, F A" uniqKey="Mussa Ivaldi F" first="F. A." last="Mussa-Ivaldi">F. A. Mussa-Ivaldi</name>
<name sortKey="Patton, J L" sort="Patton, J L" uniqKey="Patton J" first="J. L." last="Patton">J. L. Patton</name>
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