Haptic recreation of elbow spasticity.
Identifieur interne : 000C92 ( PubMed/Corpus ); précédent : 000C91; suivant : 000C93Haptic recreation of elbow spasticity.
Auteurs : Hyung-Soon Park ; Jonghyun Kim ; Diane L. DamianoSource :
- IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [ 1945-7901 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Robotics.
- methods : Robotics.
- physiology : Elbow Joint.
- physiopathology : Elbow Joint.
- rehabilitation : Muscle Spasticity.
- Humans, Models, Theoretical.
Abstract
The aim of this paper is to develop a haptic device capable of presenting standardized recreation of elbow spasticity. Using the haptic device, clinicians will be able to repeatedly practice the assessment of spasticity without requiring patient involvement, and these practice opportunities will help improve accuracy and reliability of the assessment itself. Haptic elbow spasticity simulator (HESS) was designed and prototyped according to mechanical requirements to recreate the feel of elbow spasticity. Based on the data collected from subjects with elbow spasticity, a mathematical model representing elbow spasticity is proposed. As an attempt to differentiate the feel of each score in Modified Ashworth Scale (MAS), parameters of the model were obtained respectively for three different MAS scores 1, 1+, and 2. The implemented haptic recreation was evaluated by experienced clinicians who were asked to give MAS scores by manipulating the haptic device. The clinicians who participated in the study were blinded to each other's scores and to the given models. They distinguished the three models and the MAS scores given to the recreated models matched 100% with the original MAS scores from the patients.
DOI: 10.1109/ICORR.2011.5975462
PubMed: 22275660
Links to Exploration step
pubmed:22275660Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Haptic recreation of elbow spasticity.</title><author><name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name><affiliation><nlm:affiliation>Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA. parkhs@cc.nih.gov</nlm:affiliation></affiliation></author><author><name sortKey="Kim, Jonghyun" sort="Kim, Jonghyun" uniqKey="Kim J" first="Jonghyun" last="Kim">Jonghyun Kim</name></author><author><name sortKey="Damiano, Diane L" sort="Damiano, Diane L" uniqKey="Damiano D" first="Diane L" last="Damiano">Diane L. Damiano</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1109/ICORR.2011.5975462</idno><idno type="RBID">pubmed:22275660</idno><idno type="pmid">22275660</idno><idno type="wicri:Area/PubMed/Corpus">000C92</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Haptic recreation of elbow spasticity.</title><author><name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name><affiliation><nlm:affiliation>Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA. parkhs@cc.nih.gov</nlm:affiliation></affiliation></author><author><name sortKey="Kim, Jonghyun" sort="Kim, Jonghyun" uniqKey="Kim J" first="Jonghyun" last="Kim">Jonghyun Kim</name></author><author><name sortKey="Damiano, Diane L" sort="Damiano, Diane L" uniqKey="Damiano D" first="Diane L" last="Damiano">Diane L. Damiano</name></author></analytic><series><title level="j">IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</title><idno type="eISSN">1945-7901</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Elbow Joint (physiology)</term><term>Elbow Joint (physiopathology)</term><term>Humans</term><term>Models, Theoretical</term><term>Muscle Spasticity (rehabilitation)</term><term>Robotics (instrumentation)</term><term>Robotics (methods)</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Elbow Joint</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Elbow Joint</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Muscle Spasticity</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Models, Theoretical</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this paper is to develop a haptic device capable of presenting standardized recreation of elbow spasticity. Using the haptic device, clinicians will be able to repeatedly practice the assessment of spasticity without requiring patient involvement, and these practice opportunities will help improve accuracy and reliability of the assessment itself. Haptic elbow spasticity simulator (HESS) was designed and prototyped according to mechanical requirements to recreate the feel of elbow spasticity. Based on the data collected from subjects with elbow spasticity, a mathematical model representing elbow spasticity is proposed. As an attempt to differentiate the feel of each score in Modified Ashworth Scale (MAS), parameters of the model were obtained respectively for three different MAS scores 1, 1+, and 2. The implemented haptic recreation was evaluated by experienced clinicians who were asked to give MAS scores by manipulating the haptic device. The clinicians who participated in the study were blinded to each other's scores and to the given models. They distinguished the three models and the MAS scores given to the recreated models matched 100% with the original MAS scores from the patients.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">22275660</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>25</Day></DateCreated><DateCompleted><Year>2012</Year><Month>07</Month><Day>19</Day></DateCompleted><DateRevised><Year>2015</Year><Month>03</Month><Day>25</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1945-7901</ISSN><JournalIssue CitedMedium="Internet"><Volume>2011</Volume><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>IEEE ... International Conference on Rehabilitation Robotics : [proceedings]</Title><ISOAbbreviation>IEEE Int Conf Rehabil Robot</ISOAbbreviation></Journal><ArticleTitle>Haptic recreation of elbow spasticity.</ArticleTitle><Pagination><MedlinePgn>5975462</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/ICORR.2011.5975462</ELocationID><Abstract><AbstractText>The aim of this paper is to develop a haptic device capable of presenting standardized recreation of elbow spasticity. Using the haptic device, clinicians will be able to repeatedly practice the assessment of spasticity without requiring patient involvement, and these practice opportunities will help improve accuracy and reliability of the assessment itself. Haptic elbow spasticity simulator (HESS) was designed and prototyped according to mechanical requirements to recreate the feel of elbow spasticity. Based on the data collected from subjects with elbow spasticity, a mathematical model representing elbow spasticity is proposed. As an attempt to differentiate the feel of each score in Modified Ashworth Scale (MAS), parameters of the model were obtained respectively for three different MAS scores 1, 1+, and 2. The implemented haptic recreation was evaluated by experienced clinicians who were asked to give MAS scores by manipulating the haptic device. The clinicians who participated in the study were blinded to each other's scores and to the given models. They distinguished the three models and the MAS scores given to the recreated models matched 100% with the original MAS scores from the patients.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Park</LastName><ForeName>Hyung-Soon</ForeName><Initials>HS</Initials><AffiliationInfo><Affiliation>Functional & Applied Biomechanics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA. parkhs@cc.nih.gov</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Jonghyun</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Damiano</LastName><ForeName>Diane L</ForeName><Initials>DL</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>Z99 CL999999</GrantID><Agency>Intramural NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052060">Research Support, N.I.H., Intramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Int Conf Rehabil Robot</MedlineTA><NlmUniqueID>101260913</NlmUniqueID><ISSNLinking>1945-7898</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Dev Med Child Neurol. 2002 Feb;44(2):112-8</RefSource><PMID Version="1">11848107</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Eur J Neurol. 2002 May;9 Suppl 1:3-9; dicussion 53-61</RefSource><PMID Version="1">11918643</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurosci Methods. 2003 Sep 30;128(1-2):121-8</RefSource><PMID Version="1">12948555</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Neural Syst Rehabil Eng. 2004 Mar;12(1):55-64</RefSource><PMID Version="1">15068188</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Phys Ther. 1987 Feb;67(2):206-7</RefSource><PMID Version="1">3809245</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Exp Brain Res. 1992;88(2):433-42</RefSource><PMID Version="1">1577114</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Arch Phys Med Rehabil. 2010 Mar;91(3):421-8</RefSource><PMID Version="1">20298834</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Rehabil Eng. 1999 Jun;7(2):193-203</RefSource><PMID Version="1">10391590</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Dev Med Child Neurol. 2006 Jan;48(1):64-73</RefSource><PMID Version="1">16359597</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Med Eng Phys. 2006 Jan;28(1):60-9</RefSource><PMID Version="1">15908257</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Acta Physiol (Oxf). 2007 Feb;189(2):171-80</RefSource><PMID Version="1">17250567</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Clin Neurophysiol. 2008 Oct;119(10):2329-37</RefSource><PMID Version="1">18762451</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Disabil Rehabil. 2010;32(5):409-16</RefSource><PMID Version="1">20095955</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Muscle Nerve Suppl. 1997;6:S1-13</RefSource><PMID Version="1">9826979</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004551">Elbow Joint</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName><QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008962">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009128">Muscle Spasticity</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading></MeshHeadingList><OtherID Source="NLM">NIHMS481936</OtherID><OtherID Source="NLM">PMC3732826</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>7</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1109/ICORR.2011.5975462</ArticleId><ArticleId IdType="pubmed">22275660</ArticleId><ArticleId IdType="pmc">PMC3732826</ArticleId><ArticleId IdType="mid">NIHMS481936</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000C92 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000C92 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:22275660
|texte= Haptic recreation of elbow spasticity.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:22275660" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |