Development of a Haptic Elbow Spasticity Simulator (HESS) for Improving Accuracy and Reliability of Clinical Assessment of Spasticity
Identifieur interne : 001718 ( Pmc/Curation ); précédent : 001717; suivant : 001719Development of a Haptic Elbow Spasticity Simulator (HESS) for Improving Accuracy and Reliability of Clinical Assessment of Spasticity
Auteurs : Hyung-Soon Park ; Jonghyun Kim ; Diane L. DamianoSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1534-4320 ] ; 2012.
Abstract
This paper presents the framework for developing a robotic system to improve accuracy and reliability of clinical assessment. Clinical assessment of spasticity tends to have poor reliability because of the nature of the in-person assessment. To improve accuracy and reliability of spasticity assessment, a haptic device, named the HESS (Haptic Elbow Spasticity Simulator) has been designed and constructed to recreate the clinical “feel” of elbow spasticity based on quantitative measurements. A mathematical model representing the spastic elbow joint was proposed based on clinical assessment using the Modified Ashworth Scale (MAS) and quantitative data (position, velocity, and torque) collected on subjects with elbow spasticity. Four haptic models (HMs) were created to represent the haptic feel of MAS 1, 1+, 2, and 3. The four HMs were assessed by experienced clinicians; three clinicians performed both in-person and haptic assessments, and had 100% agreement in MAS scores; and eight clinicians who were experienced with MAS assessed the four HMs without receiving any training prior to the test. Inter-rater reliability among the eight clinicians had substantial agreement (κ = 0.626). The eight clinicians also rated the level of realism (7.63 ± 0.92 out of 10) as compared to their experience with real patients.
Url:
DOI: 10.1109/TNSRE.2012.2195330
PubMed: 22562769
PubMed Central: 3579668
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Development of a Haptic Elbow Spasticity Simulator (HESS) for Improving Accuracy and Reliability of Clinical Assessment of Spasticity</title><author><name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name></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">PMC</idno><idno type="pmid">22562769</idno><idno type="pmc">3579668</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579668</idno><idno type="RBID">PMC:3579668</idno><idno type="doi">10.1109/TNSRE.2012.2195330</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">001718</idno><idno type="wicri:Area/Pmc/Curation">001718</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Development of a Haptic Elbow Spasticity Simulator (HESS) for Improving Accuracy and Reliability of Clinical Assessment of Spasticity</title><author><name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name></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 transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="ISSN">1534-4320</idno><idno type="eISSN">1558-0210</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">This paper presents the framework for developing a robotic system to improve accuracy and reliability of clinical assessment. Clinical assessment of spasticity tends to have poor reliability because of the nature of the in-person assessment. To improve accuracy and reliability of spasticity assessment, a haptic device, named the HESS (Haptic Elbow Spasticity Simulator) has been designed and constructed to recreate the clinical “feel” of elbow spasticity based on quantitative measurements. A mathematical model representing the spastic elbow joint was proposed based on clinical assessment using the Modified Ashworth Scale (MAS) and quantitative data (position, velocity, and torque) collected on subjects with elbow spasticity. Four haptic models (HMs) were created to represent the haptic feel of MAS 1, 1+, 2, and 3. The four HMs were assessed by experienced clinicians; three clinicians performed both in-person and haptic assessments, and had 100% agreement in MAS scores; and eight clinicians who were experienced with MAS assessed the four HMs without receiving any training prior to the test. Inter-rater reliability among the eight clinicians had substantial agreement (κ = 0.626). The eight clinicians also rated the level of realism (7.63 ± 0.92 out of 10) as compared to their experience with real patients.</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">101097023</journal-id><journal-id journal-id-type="pubmed-jr-id">22433</journal-id><journal-id journal-id-type="nlm-ta">IEEE Trans Neural Syst Rehabil Eng</journal-id><journal-id journal-id-type="iso-abbrev">IEEE Trans Neural Syst Rehabil Eng</journal-id><journal-title-group><journal-title>IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</journal-title></journal-title-group><issn pub-type="ppub">1534-4320</issn><issn pub-type="epub">1558-0210</issn></journal-meta><article-meta><article-id pub-id-type="pmid">22562769</article-id><article-id pub-id-type="pmc">3579668</article-id><article-id pub-id-type="doi">10.1109/TNSRE.2012.2195330</article-id><article-id pub-id-type="manuscript">NIHMS442699</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Development of a Haptic Elbow Spasticity Simulator (HESS) for Improving Accuracy and Reliability of Clinical Assessment of Spasticity</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Park</surname><given-names>Hyung-Soon</given-names></name><role>Member, IEEE</role></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Jonghyun</given-names></name></contrib><contrib contrib-type="author"><name><surname>Damiano</surname><given-names>Diane L.</given-names></name></contrib><aff id="A1">National Institutes of Health, Clinical Center, Rehabilitation Medicine Department, Bethesda, MD 20892 USA (<email>parkhs@cc.nih.gov</email>)</aff></contrib-group><pub-date pub-type="nihms-submitted"><day>11</day><month>2</month><year>2013</year></pub-date><pub-date pub-type="epub"><day>02</day><month>5</month><year>2012</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2012</year></pub-date><pub-date pub-type="pmc-release"><day>22</day><month>2</month><year>2013</year></pub-date><volume>20</volume><issue>3</issue><fpage>361</fpage><lpage>370</lpage><permissions><copyright-statement>© 2012 IEEE</copyright-statement><copyright-year>2012</copyright-year></permissions><abstract><p id="P1">This paper presents the framework for developing a robotic system to improve accuracy and reliability of clinical assessment. Clinical assessment of spasticity tends to have poor reliability because of the nature of the in-person assessment. To improve accuracy and reliability of spasticity assessment, a haptic device, named the HESS (Haptic Elbow Spasticity Simulator) has been designed and constructed to recreate the clinical “feel” of elbow spasticity based on quantitative measurements. A mathematical model representing the spastic elbow joint was proposed based on clinical assessment using the Modified Ashworth Scale (MAS) and quantitative data (position, velocity, and torque) collected on subjects with elbow spasticity. Four haptic models (HMs) were created to represent the haptic feel of MAS 1, 1+, 2, and 3. The four HMs were assessed by experienced clinicians; three clinicians performed both in-person and haptic assessments, and had 100% agreement in MAS scores; and eight clinicians who were experienced with MAS assessed the four HMs without receiving any training prior to the test. Inter-rater reliability among the eight clinicians had substantial agreement (κ = 0.626). The eight clinicians also rated the level of realism (7.63 ± 0.92 out of 10) as compared to their experience with real patients.</p></abstract><kwd-group><kwd>Elbow spasticity</kwd><kwd>haptic simulation</kwd><kwd>inter-rater reliability</kwd><kwd>modified Ashworth scale</kwd><kwd>spasticity assessment</kwd></kwd-group><funding-group><award-group><funding-source country="United States">Clinical Center : CLC</funding-source><award-id>Z99 CL999999 || CL</award-id></award-group></funding-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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