Evaluation of upper extremity robot-assistances in subacute and chronic stroke subjects.
Identifieur interne : 000F55 ( PubMed/Checkpoint ); précédent : 000F54; suivant : 000F56Evaluation of upper extremity robot-assistances in subacute and chronic stroke subjects.
Auteurs : Jaka Ziherl [Slovénie] ; Domen Novak ; Andrej Olenšek ; Matjaž Mihelj ; Marko MunihSource :
- Journal of neuroengineering and rehabilitation [ 1743-0003 ] ; 2010.
English descriptors
- KwdEn :
- Adult, Aged, Chronic Disease, Data Interpretation, Statistical, Female, Hand Strength (physiology), Humans, Male, Middle Aged, Paresis (rehabilitation), Psychomotor Performance (physiology), Robotics, Self-Help Devices, Stroke (rehabilitation), Task Performance and Analysis, Upper Extremity (physiology), Work, Young Adult.
- MESH :
- physiology : Hand Strength, Psychomotor Performance, Upper Extremity.
- rehabilitation : Paresis, Stroke.
- Adult, Aged, Chronic Disease, Data Interpretation, Statistical, Female, Humans, Male, Middle Aged, Robotics, Self-Help Devices, Task Performance and Analysis, Work, Young Adult.
Abstract
Robotic systems are becoming increasingly common in upper extremity stroke rehabilitation. Recent studies have already shown that the use of rehabilitation robots can improve recovery. This paper evaluates the effect of different modes of robot-assistances in a complex virtual environment on the subjects' ability to complete the task as well as on various haptic parameters arising from the human-robot interaction.
DOI: 10.1186/1743-0003-7-52
PubMed: 20955566
Affiliations:
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Recent studies have already shown that the use of rehabilitation robots can improve recovery. This paper evaluates the effect of different modes of robot-assistances in a complex virtual environment on the subjects' ability to complete the task as well as on various haptic parameters arising from the human-robot interaction.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">20955566</PMID><DateCreated><Year>2010</Year><Month>10</Month><Day>28</Day></DateCreated><DateCompleted><Year>2010</Year><Month>12</Month><Day>22</Day></DateCompleted><DateRevised><Year>2014</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1743-0003</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><PubDate><Year>2010</Year></PubDate></JournalIssue><Title>Journal of neuroengineering and rehabilitation</Title><ISOAbbreviation>J Neuroeng Rehabil</ISOAbbreviation></Journal><ArticleTitle>Evaluation of upper extremity robot-assistances in subacute and chronic stroke subjects.</ArticleTitle><Pagination><MedlinePgn>52</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1743-0003-7-52</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Robotic systems are becoming increasingly common in upper extremity stroke rehabilitation. Recent studies have already shown that the use of rehabilitation robots can improve recovery. This paper evaluates the effect of different modes of robot-assistances in a complex virtual environment on the subjects' ability to complete the task as well as on various haptic parameters arising from the human-robot interaction.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">The MIMICS multimodal system that includes the haptic robot HapticMaster and a dynamic virtual environment is used. The goal of the task is to catch a ball that rolls down a sloped table and place it in a basket above the table. Our study examines the influence of catching assistance, pick-and-place movement assistance and grasping assistance on the catching efficiency, placing efficiency and on movement-dependent parameters: mean reaching forces, deviation error, mechanical work and correlation between the grasping force and the load force.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The results with groups of subjects (23 subacute hemiparetic subjects, 10 chronic hemiparetic subjects and 23 control subjects) showed that the assistance raises the catching efficiency and pick-and-place efficiency. The pick-and-place movement assistance greatly limits the movements of the subject and results in decreased work toward the basket. The correlation between the load force and the grasping force exists in a certain phase of the movement. The results also showed that the stroke subjects without assistance and the control subjects performed similarly.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The robot-assistances used in the study were found to be a possible way to raise the catching efficiency and efficiency of the pick-and-place movements in subacute and chronic subjects. The observed movement parameters showed that robot-assistances we used for our virtual task should be improved to maximize physical activity.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ziherl</LastName><ForeName>Jaka</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Laboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska c, 25, 1001 Ljubljana, Slovenia. jaka.ziherl@robo.fe.uni-lj.si</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Novak</LastName><ForeName>Domen</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Olenšek</LastName><ForeName>Andrej</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Mihelj</LastName><ForeName>Matjaž</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Munih</LastName><ForeName>Marko</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>10</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Neuroeng Rehabil</MedlineTA><NlmUniqueID>101232233</NlmUniqueID><ISSNLinking>1743-0003</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Neurology. 1999 Nov 10;53(8):1874-6</RefSource><PMID Version="1">10563646</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Neural Syst Rehabil Eng. 2010 Aug;18(4):351-61</RefSource><PMID 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RefType="Cites"><RefSource>J Neuroeng Rehabil. 2010;7:13</RefSource><PMID Version="1">20230610</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>N Engl J Med. 2010 May 13;362(19):1772-83</RefSource><PMID Version="1">20400552</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Rehabil Res Dev. 2000 Nov-Dec;37(6):653-62</RefSource><PMID Version="1">11321001</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D002908">Chronic Disease</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003627">Data Interpretation, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018737">Hand Strength</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010291">Paresis</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011597">Psychomotor Performance</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012371">Robotics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012656">Self-Help Devices</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020521">Stroke</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013647">Task Performance and Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D034941">Upper Extremity</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014937">Work</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055815">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC2965146</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>4</Month><Day>16</Day></PubMedPubDate><PubMedPubDate 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sort="Mihelj, Matjaz" uniqKey="Mihelj M" first="Matjaž" last="Mihelj">Matjaž Mihelj</name><name sortKey="Munih, Marko" sort="Munih, Marko" uniqKey="Munih M" first="Marko" last="Munih">Marko Munih</name><name sortKey="Novak, Domen" sort="Novak, Domen" uniqKey="Novak D" first="Domen" last="Novak">Domen Novak</name><name sortKey="Olensek, Andrej" sort="Olensek, Andrej" uniqKey="Olensek A" first="Andrej" last="Olenšek">Andrej Olenšek</name></noCountry><country name="Slovénie"><noRegion><name sortKey="Ziherl, Jaka" sort="Ziherl, Jaka" uniqKey="Ziherl J" first="Jaka" last="Ziherl">Jaka Ziherl</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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