Multivariate Examination of Data From Gait Analysis of Persons With Stroke
Gait analyses yield redundant information that often is difficult to interpret. The purpose of this study was to show how principal-component analysis can provide insight into gait data obtained from persons with stroke. Twenty male and 11 female adults who were ambulatory were studied (mean age = 6...
Gespeichert in:
| Veröffentlicht in: | Physical therapy 1998-08, Vol.78 (8), p.814-828 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 828 |
|---|---|
| container_issue | 8 |
| container_start_page | 814 |
| container_title | Physical therapy |
| container_volume | 78 |
| creator | Olney, S J Griffin, M P McBride, I D |
| description | Gait analyses yield redundant information that often is difficult to interpret. The purpose of this study was to show how principal-component analysis can provide insight into gait data obtained from persons with stroke.
Twenty male and 11 female adults who were ambulatory were studied (mean age = 60.5 years, SD = 11.8, range = 24-79; mean time since stroke = 11.4 months, SD = 15.4, range = 2.0-88.0).
Spatial data were used in a 4-segment link-segment model to calculate the kinematic and kinetic variables of gait. Principal components were constructed on the averages for 40 variables.
The first principal component was related to speed and accounted for 40.8% of the variance. The second principal component was related to differences between the 2 limbs (symmetry) and accounted for 12.8% of the variance. The third principal component was related to adoption of a postural flexion bias and accounted for 10.2% of the variance. The fourth principal component, which was not interpretable, accounted for 6.8% of the variance.
The principal-component analysis allowed clustering of related variables and simplified the complex picture presented by the large number of variables resulting from gait analysis. Examination of variables closely related to each principal component yielded insight into the nature of the strategies used in walking and their interrelationships. The method has potential for insight into similarities and differences in gait performances arising from different pathologies and for comparing the progress of individuals with similar pathologies. |
| doi_str_mv | 10.1093/ptj/78.8.814 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_73873784</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A21078653</galeid><sourcerecordid>A21078653</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-adef9a52a7814736c96a4521e6be715d289999265615560a1548e3744afeb3f43</originalsourceid><addsrcrecordid>eNptkUtvEzEUhS0EKqGwY4s0YsGGTuvneGYZhT5ARUUCxNK6mdxJHDzjYHug_fd4lKgSKD4LSz6fjnzuJeQ1o-eMNuJil7YXuj7PYvIJmTEl6rLSXD4lM0oFKxvKxXPyIsYtpZRp2ZyQk0YzxqmekU-fR5fsbwgWEhaX99DbAZL1Q-G74gMkKK6C74trsKmYD-Aeoo2T9QVD9EMsfti0Kb6m4H_iS_KsAxfx1eE-Jd-vLr8tbsrbu-uPi_lt2cqmSSWssGtAcdD5v1pUbVOBVJxhtUTN1IrXTT68UhVTqqLAlKxRaCmhw6XopDgl7_a5u-B_jRiT6W1s0TkY0I_RaFFroesJfPsfuPVjyCWi4Vzk_oqyDJ3toTU4NHbofArQrnHAAM4P2Nn8POeM6rpSIuPlETxrhb1tj_H_xmck4X1qvXO4RpMHs7g7hrfBxxiwM7tgewgPhlEzbdvkbRtdmyw2NXxzaDgue1w9wof1Zv_93t_Y9eaPDWhiD85lmk9B-2k8pv0FYs2xWQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>223120501</pqid></control><display><type>article</type><title>Multivariate Examination of Data From Gait Analysis of Persons With Stroke</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Oxford University Press Journals All Titles (1996-Current)</source><creator>Olney, S J ; Griffin, M P ; McBride, I D</creator><creatorcontrib>Olney, S J ; Griffin, M P ; McBride, I D</creatorcontrib><description>Gait analyses yield redundant information that often is difficult to interpret. The purpose of this study was to show how principal-component analysis can provide insight into gait data obtained from persons with stroke.
Twenty male and 11 female adults who were ambulatory were studied (mean age = 60.5 years, SD = 11.8, range = 24-79; mean time since stroke = 11.4 months, SD = 15.4, range = 2.0-88.0).
Spatial data were used in a 4-segment link-segment model to calculate the kinematic and kinetic variables of gait. Principal components were constructed on the averages for 40 variables.
The first principal component was related to speed and accounted for 40.8% of the variance. The second principal component was related to differences between the 2 limbs (symmetry) and accounted for 12.8% of the variance. The third principal component was related to adoption of a postural flexion bias and accounted for 10.2% of the variance. The fourth principal component, which was not interpretable, accounted for 6.8% of the variance.
The principal-component analysis allowed clustering of related variables and simplified the complex picture presented by the large number of variables resulting from gait analysis. Examination of variables closely related to each principal component yielded insight into the nature of the strategies used in walking and their interrelationships. The method has potential for insight into similarities and differences in gait performances arising from different pathologies and for comparing the progress of individuals with similar pathologies.</description><identifier>ISSN: 0031-9023</identifier><identifier>EISSN: 1538-6724</identifier><identifier>DOI: 10.1093/ptj/78.8.814</identifier><identifier>PMID: 9711207</identifier><language>eng</language><publisher>United States: American Physical Therapy Association</publisher><subject>Adult ; Aged ; Analysis ; Cerebrovascular Disorders - physiopathology ; Cerebrovascular Disorders - rehabilitation ; Female ; Gait ; Humans ; Male ; Middle Aged ; Motor ability ; Multivariate Analysis ; Physical therapy ; Physiological aspects ; Stroke ; Stroke (Disease)</subject><ispartof>Physical therapy, 1998-08, Vol.78 (8), p.814-828</ispartof><rights>COPYRIGHT 1998 Oxford University Press</rights><rights>COPYRIGHT 1998 Oxford University Press</rights><rights>Copyright American Physical Therapy Association Aug 1998</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-adef9a52a7814736c96a4521e6be715d289999265615560a1548e3744afeb3f43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9711207$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Olney, S J</creatorcontrib><creatorcontrib>Griffin, M P</creatorcontrib><creatorcontrib>McBride, I D</creatorcontrib><title>Multivariate Examination of Data From Gait Analysis of Persons With Stroke</title><title>Physical therapy</title><addtitle>Phys Ther</addtitle><description>Gait analyses yield redundant information that often is difficult to interpret. The purpose of this study was to show how principal-component analysis can provide insight into gait data obtained from persons with stroke.
Twenty male and 11 female adults who were ambulatory were studied (mean age = 60.5 years, SD = 11.8, range = 24-79; mean time since stroke = 11.4 months, SD = 15.4, range = 2.0-88.0).
Spatial data were used in a 4-segment link-segment model to calculate the kinematic and kinetic variables of gait. Principal components were constructed on the averages for 40 variables.
The first principal component was related to speed and accounted for 40.8% of the variance. The second principal component was related to differences between the 2 limbs (symmetry) and accounted for 12.8% of the variance. The third principal component was related to adoption of a postural flexion bias and accounted for 10.2% of the variance. The fourth principal component, which was not interpretable, accounted for 6.8% of the variance.
The principal-component analysis allowed clustering of related variables and simplified the complex picture presented by the large number of variables resulting from gait analysis. Examination of variables closely related to each principal component yielded insight into the nature of the strategies used in walking and their interrelationships. The method has potential for insight into similarities and differences in gait performances arising from different pathologies and for comparing the progress of individuals with similar pathologies.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Cerebrovascular Disorders - physiopathology</subject><subject>Cerebrovascular Disorders - rehabilitation</subject><subject>Female</subject><subject>Gait</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motor ability</subject><subject>Multivariate Analysis</subject><subject>Physical therapy</subject><subject>Physiological aspects</subject><subject>Stroke</subject><subject>Stroke (Disease)</subject><issn>0031-9023</issn><issn>1538-6724</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkUtvEzEUhS0EKqGwY4s0YsGGTuvneGYZhT5ARUUCxNK6mdxJHDzjYHug_fd4lKgSKD4LSz6fjnzuJeQ1o-eMNuJil7YXuj7PYvIJmTEl6rLSXD4lM0oFKxvKxXPyIsYtpZRp2ZyQk0YzxqmekU-fR5fsbwgWEhaX99DbAZL1Q-G74gMkKK6C74trsKmYD-Aeoo2T9QVD9EMsfti0Kb6m4H_iS_KsAxfx1eE-Jd-vLr8tbsrbu-uPi_lt2cqmSSWssGtAcdD5v1pUbVOBVJxhtUTN1IrXTT68UhVTqqLAlKxRaCmhw6XopDgl7_a5u-B_jRiT6W1s0TkY0I_RaFFroesJfPsfuPVjyCWi4Vzk_oqyDJ3toTU4NHbofArQrnHAAM4P2Nn8POeM6rpSIuPlETxrhb1tj_H_xmck4X1qvXO4RpMHs7g7hrfBxxiwM7tgewgPhlEzbdvkbRtdmyw2NXxzaDgue1w9wof1Zv_93t_Y9eaPDWhiD85lmk9B-2k8pv0FYs2xWQ</recordid><startdate>19980801</startdate><enddate>19980801</enddate><creator>Olney, S J</creator><creator>Griffin, M P</creator><creator>McBride, I D</creator><general>American Physical Therapy Association</general><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>19980801</creationdate><title>Multivariate Examination of Data From Gait Analysis of Persons With Stroke</title><author>Olney, S J ; Griffin, M P ; McBride, I D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-adef9a52a7814736c96a4521e6be715d289999265615560a1548e3744afeb3f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Cerebrovascular Disorders - physiopathology</topic><topic>Cerebrovascular Disorders - rehabilitation</topic><topic>Female</topic><topic>Gait</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motor ability</topic><topic>Multivariate Analysis</topic><topic>Physical therapy</topic><topic>Physiological aspects</topic><topic>Stroke</topic><topic>Stroke (Disease)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olney, S J</creatorcontrib><creatorcontrib>Griffin, M P</creatorcontrib><creatorcontrib>McBride, I D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Physical therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olney, S J</au><au>Griffin, M P</au><au>McBride, I D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate Examination of Data From Gait Analysis of Persons With Stroke</atitle><jtitle>Physical therapy</jtitle><addtitle>Phys Ther</addtitle><date>1998-08-01</date><risdate>1998</risdate><volume>78</volume><issue>8</issue><spage>814</spage><epage>828</epage><pages>814-828</pages><issn>0031-9023</issn><eissn>1538-6724</eissn><abstract>Gait analyses yield redundant information that often is difficult to interpret. The purpose of this study was to show how principal-component analysis can provide insight into gait data obtained from persons with stroke.
Twenty male and 11 female adults who were ambulatory were studied (mean age = 60.5 years, SD = 11.8, range = 24-79; mean time since stroke = 11.4 months, SD = 15.4, range = 2.0-88.0).
Spatial data were used in a 4-segment link-segment model to calculate the kinematic and kinetic variables of gait. Principal components were constructed on the averages for 40 variables.
The first principal component was related to speed and accounted for 40.8% of the variance. The second principal component was related to differences between the 2 limbs (symmetry) and accounted for 12.8% of the variance. The third principal component was related to adoption of a postural flexion bias and accounted for 10.2% of the variance. The fourth principal component, which was not interpretable, accounted for 6.8% of the variance.
The principal-component analysis allowed clustering of related variables and simplified the complex picture presented by the large number of variables resulting from gait analysis. Examination of variables closely related to each principal component yielded insight into the nature of the strategies used in walking and their interrelationships. The method has potential for insight into similarities and differences in gait performances arising from different pathologies and for comparing the progress of individuals with similar pathologies.</abstract><cop>United States</cop><pub>American Physical Therapy Association</pub><pmid>9711207</pmid><doi>10.1093/ptj/78.8.814</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0031-9023 |
| ispartof | Physical therapy, 1998-08, Vol.78 (8), p.814-828 |
| issn | 0031-9023 1538-6724 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_73873784 |
| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Adult Aged Analysis Cerebrovascular Disorders - physiopathology Cerebrovascular Disorders - rehabilitation Female Gait Humans Male Middle Aged Motor ability Multivariate Analysis Physical therapy Physiological aspects Stroke Stroke (Disease) |
| title | Multivariate Examination of Data From Gait Analysis of Persons With Stroke |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T16%3A38%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multivariate%20Examination%20of%20Data%20From%20Gait%20Analysis%20of%20Persons%20With%20Stroke&rft.jtitle=Physical%20therapy&rft.au=Olney,%20S%20J&rft.date=1998-08-01&rft.volume=78&rft.issue=8&rft.spage=814&rft.epage=828&rft.pages=814-828&rft.issn=0031-9023&rft.eissn=1538-6724&rft_id=info:doi/10.1093/ptj/78.8.814&rft_dat=%3Cgale_proqu%3EA21078653%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=223120501&rft_id=info:pmid/9711207&rft_galeid=A21078653&rfr_iscdi=true |