Humans can integrate feedback of discrete events in their sensorimotor control of a robotic hand
Identifieur interne : 000B91 ( Pmc/Checkpoint ); précédent : 000B90; suivant : 000B92Humans can integrate feedback of discrete events in their sensorimotor control of a robotic hand
Auteurs : Christian Cipriani ; Jacob L. Segil ; Francesco Clemente ; Richard F. Ff Weir ; Benoni EdinSource :
- Experimental brain research [ 0014-4819 ] ; 2014.
Abstract
Providing functionally effective sensory feedback to users of prosthetics is a largely unsolved challenge. Traditional solutions require high band-widths for providing feedback for the control of manipulation and yet have been largely unsuccessful. In this study, we have explored a strategy that relies on temporally discrete sensory feedback that is technically simple to provide. According to the
Url:
DOI: 10.1007/s00221-014-4024-8
PubMed: 24992899
PubMed Central: 4666528
Affiliations:
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PMC:4666528Le document en format XML
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<author><name sortKey="Cipriani, Christian" sort="Cipriani, Christian" uniqKey="Cipriani C" first="Christian" last="Cipriani">Christian Cipriani</name>
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<author><name sortKey="Segil, Jacob L" sort="Segil, Jacob L" uniqKey="Segil J" first="Jacob L." last="Segil">Jacob L. Segil</name>
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<author><name sortKey="Clemente, Francesco" sort="Clemente, Francesco" uniqKey="Clemente F" first="Francesco" last="Clemente">Francesco Clemente</name>
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<author><name sortKey="Weir, Richard F Ff" sort="Weir, Richard F Ff" uniqKey="Weir R" first="Richard F. Ff" last="Weir">Richard F. Ff Weir</name>
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<author><name sortKey="Edin, Benoni" sort="Edin, Benoni" uniqKey="Edin B" first="Benoni" last="Edin">Benoni Edin</name>
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<series><title level="j">Experimental brain research</title>
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<front><div type="abstract" xml:lang="en"><p id="P1">Providing functionally effective sensory feedback to users of prosthetics is a largely unsolved challenge. Traditional solutions require high band-widths for providing feedback for the control of manipulation and yet have been largely unsuccessful. In this study, we have explored a strategy that relies on temporally discrete sensory feedback that is technically simple to provide. According to the <italic>Discrete Event</italic>
-<italic>driven Sensory feedback Control</italic>
(DESC) policy, motor tasks in humans are organized in phases delimited by means of sensory encoded discrete mechanical events. To explore the applicability of DESC for control, we designed a paradigm in which healthy humans operated an artificial robot hand to lift and replace an instrumented object, a task that can readily be learned and mastered under visual control. Assuming that the central nervous system of humans naturally organizes motor tasks based on a strategy akin to DESC, we delivered short-lasting vibrotactile feedback related to events that are known to forcefully affect progression of the grasp-lift-and-hold task. After training, we determined whether the artificial feedback had been integrated with the sensorimotor control by introducing short delays and we indeed observed that the participants significantly delayed subsequent phases of the task. This study thus gives support to the DESC policy hypothesis. Moreover, it demonstrates that humans can integrate temporally discrete sensory feedback while controlling an artificial hand and invites further studies in which inexpensive, noninvasive technology could be used in clever ways to provide physiologically appropriate sensory feedback in upper limb prosthetics with much lower band-width requirements than with traditional solutions.</p>
</div>
</front>
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<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">0043312</journal-id>
<journal-id journal-id-type="pubmed-jr-id">3641</journal-id>
<journal-id journal-id-type="nlm-ta">Exp Brain Res</journal-id>
<journal-id journal-id-type="iso-abbrev">Exp Brain Res</journal-id>
<journal-title-group><journal-title>Experimental brain research</journal-title>
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<issn pub-type="ppub">0014-4819</issn>
<issn pub-type="epub">1432-1106</issn>
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<article-id pub-id-type="doi">10.1007/s00221-014-4024-8</article-id>
<article-id pub-id-type="manuscript">VAPA739538</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Humans can integrate feedback of discrete events in their sensorimotor control of a robotic hand</article-title>
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<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Cipriani</surname>
<given-names>Christian</given-names>
</name>
<aff id="A1">The BioRobotics Institute, Scuola Superiore Sant’Anna, V.le Piaggio 34, 56025 Pontedera (PI), Italy</aff>
<email>ch.cipriani@sssup.it</email>
</contrib>
<contrib contrib-type="author"><name><surname>Segil</surname>
<given-names>Jacob L.</given-names>
</name>
<aff id="A2">Department of Mechanical Engineering, University of Colorado at Boulder, 427 UCB, Boulder, CO 80309-0427, USA</aff>
</contrib>
<contrib contrib-type="author"><name><surname>Clemente</surname>
<given-names>Francesco</given-names>
</name>
<aff id="A3">The BioRobotics Institute, Scuola Superiore Sant’Anna, V.le Piaggio 34, 56025 Pontedera (PI), Italy</aff>
</contrib>
<contrib contrib-type="author"><name><surname>Weir</surname>
<given-names>Richard F. ff</given-names>
</name>
<aff id="A4">Department of Bioengineering College of Engineering and Applied Science, University of Colorado Denver, Anschutz Medical Campus 12700 E 19th Avenue, Aurora, CO 80045-2560, USA</aff>
</contrib>
<contrib contrib-type="author"><name><surname>Edin</surname>
<given-names>Benoni</given-names>
</name>
<aff id="A5">Department of Integrative Medical Biology, Physiology Section, Umeå University, 901 87 Umeå, Sweden</aff>
</contrib>
</contrib-group>
<author-notes><fn id="FN1" fn-type="equal"><p>Jacob L. Segil and Francesco Clemente have contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>21</day>
<month>11</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub"><day>04</day>
<month>7</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="ppub"><month>11</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>232</volume>
<issue>11</issue>
<fpage>3421</fpage>
<lpage>3429</lpage>
<pmc-comment>elocation-id from pubmed: 10.1007/s00221-014-4024-8</pmc-comment>
<abstract><p id="P1">Providing functionally effective sensory feedback to users of prosthetics is a largely unsolved challenge. Traditional solutions require high band-widths for providing feedback for the control of manipulation and yet have been largely unsuccessful. In this study, we have explored a strategy that relies on temporally discrete sensory feedback that is technically simple to provide. According to the <italic>Discrete Event</italic>
-<italic>driven Sensory feedback Control</italic>
(DESC) policy, motor tasks in humans are organized in phases delimited by means of sensory encoded discrete mechanical events. To explore the applicability of DESC for control, we designed a paradigm in which healthy humans operated an artificial robot hand to lift and replace an instrumented object, a task that can readily be learned and mastered under visual control. Assuming that the central nervous system of humans naturally organizes motor tasks based on a strategy akin to DESC, we delivered short-lasting vibrotactile feedback related to events that are known to forcefully affect progression of the grasp-lift-and-hold task. After training, we determined whether the artificial feedback had been integrated with the sensorimotor control by introducing short delays and we indeed observed that the participants significantly delayed subsequent phases of the task. This study thus gives support to the DESC policy hypothesis. Moreover, it demonstrates that humans can integrate temporally discrete sensory feedback while controlling an artificial hand and invites further studies in which inexpensive, noninvasive technology could be used in clever ways to provide physiologically appropriate sensory feedback in upper limb prosthetics with much lower band-width requirements than with traditional solutions.</p>
</abstract>
<kwd-group><kwd>Sensorimotor control</kwd>
<kwd>Human</kwd>
<kwd>Hand</kwd>
<kwd>Tactile afferents</kwd>
<kwd>Sensory substitution</kwd>
<kwd>Sensory feedback</kwd>
</kwd-group>
</article-meta>
</front>
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<tree><noCountry><name sortKey="Cipriani, Christian" sort="Cipriani, Christian" uniqKey="Cipriani C" first="Christian" last="Cipriani">Christian Cipriani</name>
<name sortKey="Clemente, Francesco" sort="Clemente, Francesco" uniqKey="Clemente F" first="Francesco" last="Clemente">Francesco Clemente</name>
<name sortKey="Edin, Benoni" sort="Edin, Benoni" uniqKey="Edin B" first="Benoni" last="Edin">Benoni Edin</name>
<name sortKey="Segil, Jacob L" sort="Segil, Jacob L" uniqKey="Segil J" first="Jacob L." last="Segil">Jacob L. Segil</name>
<name sortKey="Weir, Richard F Ff" sort="Weir, Richard F Ff" uniqKey="Weir R" first="Richard F. Ff" last="Weir">Richard F. Ff Weir</name>
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