Usage of the ACT3D Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors
Identifieur interne : 002241 ( Pmc/Checkpoint ); précédent : 002240; suivant : 002242Usage of the ACT3D Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors
Auteurs : Jun Yao ; Clay Sheaff ; Julius P. A. DewaldSource :
- IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [ 1945-7898 ] ; 2008.
Abstract
At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT3D robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject’s intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT3D robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.
Url:
DOI: 10.1109/ICORR.2007.4428536
PubMed: 20454553
PubMed Central: 2865680
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
PMC:2865680Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Usage of the ACT<sup>3D</sup> Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors</title><author><name sortKey="Yao, Jun" sort="Yao, Jun" uniqKey="Yao J" first="Jun" last="Yao">Jun Yao</name></author><author><name sortKey="Sheaff, Clay" sort="Sheaff, Clay" uniqKey="Sheaff C" first="Clay" last="Sheaff">Clay Sheaff</name></author><author><name sortKey="Dewald, Julius P A" sort="Dewald, Julius P A" uniqKey="Dewald J" first="Julius P. A." last="Dewald">Julius P. A. Dewald</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">20454553</idno><idno type="pmc">2865680</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865680</idno><idno type="RBID">PMC:2865680</idno><idno type="doi">10.1109/ICORR.2007.4428536</idno><date when="2008">2008</date><idno type="wicri:Area/Pmc/Corpus">000F30</idno><idno type="wicri:Area/Pmc/Curation">000F30</idno><idno type="wicri:Area/Pmc/Checkpoint">002241</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Usage of the ACT<sup>3D</sup> Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors</title><author><name sortKey="Yao, Jun" sort="Yao, Jun" uniqKey="Yao J" first="Jun" last="Yao">Jun Yao</name></author><author><name sortKey="Sheaff, Clay" sort="Sheaff, Clay" uniqKey="Sheaff C" first="Clay" last="Sheaff">Clay Sheaff</name></author><author><name sortKey="Dewald, Julius P A" sort="Dewald, Julius P A" uniqKey="Dewald J" first="Julius P. A." last="Dewald">Julius P. A. Dewald</name></author></analytic><series><title level="j">IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</title><idno type="ISSN">1945-7898</idno><idno type="eISSN">1945-7901</idno><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT<sup>3D</sup> robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject’s intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT<sup>3D</sup> robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.</p></div></front></TEI><pmc article-type="research-article" xml:lang="EN"><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">101260913</journal-id><journal-id journal-id-type="pubmed-jr-id">37025</journal-id><journal-id journal-id-type="nlm-ta">IEEE Int Conf Rehabil Robot</journal-id><journal-title>IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</journal-title><issn pub-type="ppub">1945-7898</issn><issn pub-type="epub">1945-7901</issn></journal-meta><article-meta><article-id pub-id-type="pmid">20454553</article-id><article-id pub-id-type="pmc">2865680</article-id><article-id pub-id-type="doi">10.1109/ICORR.2007.4428536</article-id><article-id pub-id-type="manuscript">NIHMS184439</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Usage of the ACT<sup>3D</sup> Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Yao</surname><given-names>Jun</given-names></name><aff id="A1">Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL 60611 USA (phone: 312-503-4430; fax: 312-908-0741</aff><email>j-yao4r@northwestern.edu</email></contrib><contrib contrib-type="author"><name><surname>Sheaff</surname><given-names>Clay</given-names></name><aff id="A2">Department of Biomedical Engineering, Northwestern University, Chicago, IL 60611 USA</aff><email>c-sheaff@northwestern.edu</email></contrib><contrib contrib-type="author"><name><surname>Dewald</surname><given-names>Julius P. A.</given-names></name><aff id="A3">Departments of Physical Therapy and Human Movement Sciences, Biomedical Engineering and Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA</aff><email>j-dewald@northwestern.edu</email></contrib></contrib-group><pub-date pub-type="nihms-submitted"><day>12</day><month>3</month><year>2010</year></pub-date><pub-date pub-type="ppub"><day>14</day><month>1</month><year>2008</year></pub-date><pub-date pub-type="pmc-release"><day>7</day><month>5</month><year>2010</year></pub-date><volume>2007</volume><fpage>938</fpage><lpage>942</lpage><abstract><p id="P1">At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT<sup>3D</sup> robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject’s intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT<sup>3D</sup> robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.</p></abstract><contract-num rid="EB1">T32 EB009406-01
||EB</contract-num><contract-num rid="EB1">T32 EB005170-02
||EB</contract-num><contract-num rid="HD1">R01 HD047569-04
||HD</contract-num><contract-sponsor id="EB1">National Institute of Biomedical Imaging and Bioengineering : NIBIB</contract-sponsor><contract-sponsor id="HD1">National Institute of Child Health & Human Development : NICHD</contract-sponsor></article-meta></front></pmc><affiliations><list></list><tree><noCountry><name sortKey="Dewald, Julius P A" sort="Dewald, Julius P A" uniqKey="Dewald J" first="Julius P. A." last="Dewald">Julius P. A. Dewald</name><name sortKey="Sheaff, Clay" sort="Sheaff, Clay" uniqKey="Sheaff C" first="Clay" last="Sheaff">Clay Sheaff</name><name sortKey="Yao, Jun" sort="Yao, Jun" uniqKey="Yao J" first="Jun" last="Yao">Jun Yao</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Pmc/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002241 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd -nk 002241 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Pmc
|étape= Checkpoint
|type= RBID
|clé= PMC:2865680
|texte= Usage of the ACT3D Robot in a Brain Machine Interface for Hand Opening and Closing in Stroke Survivors
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/RBID.i -Sk "pubmed:20454553" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |