Validity and Reliability of Two-Dimensional Motion Analysis for Quantifying Postural Deficits in Adults With and Without Neurological Impairment.
Identifieur interne : 000658 ( Main/Curation ); précédent : 000657; suivant : 000659Validity and Reliability of Two-Dimensional Motion Analysis for Quantifying Postural Deficits in Adults With and Without Neurological Impairment.
Auteurs : S S Paul [Australie] ; M E Lester ; K B Foreman ; L E DibbleSource :
- Anatomical record (Hoboken, N.J. : 2007) [ 1932-8494 ] ; 2016.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enregistrement sur magnétoscope (MeSH), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Logiciel (MeSH), Maladie de Parkinson (physiopathologie), Mâle (MeSH), Phénomènes biomécaniques (physiologie), Posture (physiologie), Reproductibilité des résultats (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Équilibre postural (physiologie).
- MESH :
- physiologie : Phénomènes biomécaniques, Posture, Équilibre postural.
- physiopathologie : Maladie de Parkinson.
- Adolescent, Adulte, Adulte d'âge moyen, Enregistrement sur magnétoscope, Femelle, Humains, Jeune adulte, Logiciel, Mâle, Reproductibilité des résultats, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Biomechanical Phenomena (physiology), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Parkinson Disease (physiopathology), Postural Balance (physiology), Posture (physiology), Reproducibility of Results (MeSH), Software (MeSH), Video Recording (MeSH), Young Adult (MeSH).
- MESH :
- physiology : Biomechanical Phenomena, Postural Balance, Posture.
- physiopathology : Parkinson Disease.
- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Reproducibility of Results, Software, Video Recording, Young Adult.
Abstract
Frequently, clinical balance outcome measures are limited by floor or ceiling effects and provide insufficient resolution to determine subtle deficits. Detailed assessment of postural control obtained through posturography may be cost-prohibitive or logistically infeasible in some clinical settings. Two-dimensional (2D) motion analysis may provide a clinically feasible means of obtaining detailed quantification of balance deficits. Forty-five participants aged 18-80 years, with and without Parkinson disease, performed the Push and Release (PR) test, sit-to-stand (STS), and timed single leg stance (SLS). Performance was captured simultaneously using a three-dimensional (3D) (10-camera laboratory-based 3D motion capture system and 3D motion analysis software) and 2D (two commercially available video cameras and 2D motion analysis software) system. Agreement was excellent between 2D and 3D systems for all outcomes of the PR and SLS (intraclass correlation coefficients [ICC2,1 ] 0.96-0.99, 95% CIs 0.92-0.98 to 0.99-1.0), and ranged from fair to excellent for STS outcomes (ICC2,1 0.59-0.93, 95% CIs 0.36-0.75 to 0.87-0.96). Test-retest reliability (ICC3,1 0.89-1.0, 95% CIs 0.76-0.96 to 1.0-1.0) and inter-rater reliability (ICC2,1 0.77-1.0, 95% CIs 0.61-0.87 to 1.0-1.0) of the 2D obtained outcomes were excellent. A technology package of commonly available video cameras and 2D motion analysis software was a valid and reliable method for quantifying outcomes of postural control tasks in people with a range of balance abilities. Two-dimensional analysis can be used in clinical practice to provide balance assessments as a cost-effective alternative to 3D motion capture. Anat Rec, 299:1165-1173, 2016. © 2016 Wiley Periodicals, Inc.
DOI: 10.1002/ar.23385
PubMed: 27314922
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S S Paul<affiliation><nlm:affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</nlm:affiliation><wicri:noCountry code="subField">84108</wicri:noCountry></affiliation><affiliation wicri:level="1"><nlm:affiliation>The George Institute for Global Health, Sydney Medical School, The University of Sydney, New South Wales, 2050, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The George Institute for Global Health, Sydney Medical School, The University of Sydney, New South Wales, 2050</wicri:regionArea></affiliation><affiliation><nlm:affiliation>Doctoral Program in Physical Therapy, US Army-Baylor University, Joint Base San Antonio-Fort Sam Houston, Texas, 78234.</nlm:affiliation><wicri:noCountry code="subField">78234</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</nlm:affiliation><wicri:noCountry code="subField">84108</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</nlm:affiliation><wicri:noCountry code="subField">84108</wicri:noCountry></affiliation>Le document en format XML
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code="subField">84108</wicri:noCountry></affiliation><affiliation wicri:level="1"><nlm:affiliation>The George Institute for Global Health, Sydney Medical School, The University of Sydney, New South Wales, 2050, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>The George Institute for Global Health, Sydney Medical School, The University of Sydney, New South Wales, 2050</wicri:regionArea></affiliation></author><author><name sortKey="Lester, M E" sort="Lester, M E" uniqKey="Lester M" first="M E" last="Lester">M E Lester</name><affiliation><nlm:affiliation>Doctoral Program in Physical Therapy, US Army-Baylor University, Joint Base San Antonio-Fort Sam Houston, Texas, 78234.</nlm:affiliation><wicri:noCountry code="subField">78234</wicri:noCountry></affiliation></author><author><name sortKey="Foreman, K B" sort="Foreman, K B" uniqKey="Foreman K" first="K B" last="Foreman">K B Foreman</name><affiliation><nlm:affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</nlm:affiliation><wicri:noCountry code="subField">84108</wicri:noCountry></affiliation></author><author><name sortKey="Dibble, L E" sort="Dibble, L E" uniqKey="Dibble L" first="L E" last="Dibble">L E Dibble</name><affiliation><nlm:affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</nlm:affiliation><wicri:noCountry code="subField">84108</wicri:noCountry></affiliation></author></analytic><series><title level="j">Anatomical record (Hoboken, N.J. : 2007)</title><idno type="eISSN">1932-8494</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Biomechanical Phenomena (physiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Parkinson Disease (physiopathology)</term><term>Postural Balance (physiology)</term><term>Posture (physiology)</term><term>Reproducibility of Results (MeSH)</term><term>Software (MeSH)</term><term>Video Recording (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Enregistrement sur magnétoscope (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Logiciel (MeSH)</term><term>Maladie de Parkinson (physiopathologie)</term><term>Mâle (MeSH)</term><term>Phénomènes biomécaniques (physiologie)</term><term>Posture (physiologie)</term><term>Reproductibilité des résultats (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Équilibre postural (physiologie)</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Phénomènes biomécaniques</term><term>Posture</term><term>Équilibre postural</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Biomechanical Phenomena</term><term>Postural Balance</term><term>Posture</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Maladie de Parkinson</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Software</term><term>Video Recording</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enregistrement sur magnétoscope</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Logiciel</term><term>Mâle</term><term>Reproductibilité des résultats</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Frequently, clinical balance outcome measures are limited by floor or ceiling effects and provide insufficient resolution to determine subtle deficits. Detailed assessment of postural control obtained through posturography may be cost-prohibitive or logistically infeasible in some clinical settings. Two-dimensional (2D) motion analysis may provide a clinically feasible means of obtaining detailed quantification of balance deficits. Forty-five participants aged 18-80 years, with and without Parkinson disease, performed the Push and Release (PR) test, sit-to-stand (STS), and timed single leg stance (SLS). Performance was captured simultaneously using a three-dimensional (3D) (10-camera laboratory-based 3D motion capture system and 3D motion analysis software) and 2D (two commercially available video cameras and 2D motion analysis software) system. Agreement was excellent between 2D and 3D systems for all outcomes of the PR and SLS (intraclass correlation coefficients [ICC2,1 ] 0.96-0.99, 95% CIs 0.92-0.98 to 0.99-1.0), and ranged from fair to excellent for STS outcomes (ICC2,1 0.59-0.93, 95% CIs 0.36-0.75 to 0.87-0.96). Test-retest reliability (ICC3,1 0.89-1.0, 95% CIs 0.76-0.96 to 1.0-1.0) and inter-rater reliability (ICC2,1 0.77-1.0, 95% CIs 0.61-0.87 to 1.0-1.0) of the 2D obtained outcomes were excellent. A technology package of commonly available video cameras and 2D motion analysis software was a valid and reliable method for quantifying outcomes of postural control tasks in people with a range of balance abilities. Two-dimensional analysis can be used in clinical practice to provide balance assessments as a cost-effective alternative to 3D motion capture. Anat Rec, 299:1165-1173, 2016. © 2016 Wiley Periodicals, Inc.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27314922</PMID><DateCompleted><Year>2017</Year><Month>07</Month><Day>24</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1932-8494</ISSN><JournalIssue CitedMedium="Internet"><Volume>299</Volume><Issue>9</Issue><PubDate><Year>2016</Year><Month>09</Month></PubDate></JournalIssue><Title>Anatomical record (Hoboken, N.J. : 2007)</Title><ISOAbbreviation>Anat Rec (Hoboken)</ISOAbbreviation></Journal><ArticleTitle>Validity and Reliability of Two-Dimensional Motion Analysis for Quantifying Postural Deficits in Adults With and Without Neurological Impairment.</ArticleTitle><Pagination><MedlinePgn>1165-73</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/ar.23385</ELocationID><Abstract><AbstractText>Frequently, clinical balance outcome measures are limited by floor or ceiling effects and provide insufficient resolution to determine subtle deficits. Detailed assessment of postural control obtained through posturography may be cost-prohibitive or logistically infeasible in some clinical settings. Two-dimensional (2D) motion analysis may provide a clinically feasible means of obtaining detailed quantification of balance deficits. Forty-five participants aged 18-80 years, with and without Parkinson disease, performed the Push and Release (PR) test, sit-to-stand (STS), and timed single leg stance (SLS). Performance was captured simultaneously using a three-dimensional (3D) (10-camera laboratory-based 3D motion capture system and 3D motion analysis software) and 2D (two commercially available video cameras and 2D motion analysis software) system. Agreement was excellent between 2D and 3D systems for all outcomes of the PR and SLS (intraclass correlation coefficients [ICC2,1 ] 0.96-0.99, 95% CIs 0.92-0.98 to 0.99-1.0), and ranged from fair to excellent for STS outcomes (ICC2,1 0.59-0.93, 95% CIs 0.36-0.75 to 0.87-0.96). Test-retest reliability (ICC3,1 0.89-1.0, 95% CIs 0.76-0.96 to 1.0-1.0) and inter-rater reliability (ICC2,1 0.77-1.0, 95% CIs 0.61-0.87 to 1.0-1.0) of the 2D obtained outcomes were excellent. A technology package of commonly available video cameras and 2D motion analysis software was a valid and reliable method for quantifying outcomes of postural control tasks in people with a range of balance abilities. Two-dimensional analysis can be used in clinical practice to provide balance assessments as a cost-effective alternative to 3D motion capture. Anat Rec, 299:1165-1173, 2016. © 2016 Wiley Periodicals, Inc.</AbstractText><CopyrightInformation>© 2016 Wiley Periodicals, Inc.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Paul</LastName><ForeName>S S</ForeName><Initials>SS</Initials><AffiliationInfo><Affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>The George Institute for Global Health, Sydney Medical School, The University of Sydney, New South Wales, 2050, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lester</LastName><ForeName>M E</ForeName><Initials>ME</Initials><AffiliationInfo><Affiliation>Doctoral Program in Physical Therapy, US Army-Baylor University, Joint Base San Antonio-Fort Sam Houston, Texas, 78234.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Foreman</LastName><ForeName>K B</ForeName><Initials>KB</Initials><AffiliationInfo><Affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dibble</LastName><ForeName>L E</ForeName><Initials>LE</Initials><AffiliationInfo><Affiliation>Department of Physical Therapy, University of Utah, Salt Lake City, Utah, 84108.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D023361">Validation Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>07</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Anat Rec (Hoboken)</MedlineTA><NlmUniqueID>101292775</NlmUniqueID><ISSNLinking>1932-8486</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001696" MajorTopicYN="N">Biomechanical Phenomena</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010300" MajorTopicYN="N">Parkinson Disease</DescriptorName><QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004856" MajorTopicYN="N">Postural Balance</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011187" MajorTopicYN="N">Posture</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012984" MajorTopicYN="Y">Software</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014741" MajorTopicYN="N">Video Recording</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">balance</Keyword><Keyword MajorTopicYN="Y">motion analysis</Keyword><Keyword MajorTopicYN="Y">reliability</Keyword><Keyword MajorTopicYN="Y">validity</Keyword><Keyword MajorTopicYN="Y">video analysis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>02</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>04</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>04</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>6</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>6</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>7</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27314922</ArticleId><ArticleId IdType="doi">10.1002/ar.23385</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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