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Gait analysis in a component timed-up-and-go test using a smartphone application
The timed-up-and-go test (TUG) is a popular test for mobility, but it only measures the total time to complete tasks. Recent advances in smartphone technology enables measuring respective times of 6 components in the test (Stand, Go, Turn1, Come, Turns and Sit). We examined availability of these dat...
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Published in: | Journal of the neurological sciences 2019-03, Vol.398, p.45-49 |
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creator | Ishikawa, Masatsune Yamada, Shigeki Yamamoto, Kazuo Aoyagi, Yukihiko |
description | The timed-up-and-go test (TUG) is a popular test for mobility, but it only measures the total time to complete tasks. Recent advances in smartphone technology enables measuring respective times of 6 components in the test (Stand, Go, Turn1, Come, Turns and Sit). We examined availability of these data for assessing different gait patterns.
This study enrolled 32 patients with probable idiopathic normal-pressure hydrocephalus and 87 age-matched active participants as controls. All the patients responded positively to cerebrospinal fluid (CSF) removal, among whom 19 underwent surgery with positive outcomes. The TUG was performed using a free smartphone application. The components were automatically detected, and their respective times were computed. Statistical analyses included item cluster analysis.
In the control group, high correlations (r ≥ 0.7) were observed in two pairs of Go and Come, and Turn1 and Turn2, which reflect straight walk and turn. This pattern was lost in the baseline and after CSF removal in the hydrocephalus group. After surgery, the two pairs in the control group regained high correlations. The item cluster analysis showed the pattern changes more clearly.
A smartphone is useful for analyzing gait patterns in the TUG, which can be applicable for various gait disorders.
•Timed-up-and-go test is a popular gait test, but it measures only the total time.•The gait test is composed of Stand, Go, Turn1, Come, Turn2 and Sit.•A smartphone application measures respective times of six components on the test.•The pairs Go and Come, and Turn 1 and Turn2 in the control were 2 major clusters.•This pattern was lost in normal pressure hydrocephalus and restored by surgery. |
doi_str_mv | 10.1016/j.jns.2019.01.023 |
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This study enrolled 32 patients with probable idiopathic normal-pressure hydrocephalus and 87 age-matched active participants as controls. All the patients responded positively to cerebrospinal fluid (CSF) removal, among whom 19 underwent surgery with positive outcomes. The TUG was performed using a free smartphone application. The components were automatically detected, and their respective times were computed. Statistical analyses included item cluster analysis.
In the control group, high correlations (r ≥ 0.7) were observed in two pairs of Go and Come, and Turn1 and Turn2, which reflect straight walk and turn. This pattern was lost in the baseline and after CSF removal in the hydrocephalus group. After surgery, the two pairs in the control group regained high correlations. The item cluster analysis showed the pattern changes more clearly.
A smartphone is useful for analyzing gait patterns in the TUG, which can be applicable for various gait disorders.
•Timed-up-and-go test is a popular gait test, but it measures only the total time.•The gait test is composed of Stand, Go, Turn1, Come, Turn2 and Sit.•A smartphone application measures respective times of six components on the test.•The pairs Go and Come, and Turn 1 and Turn2 in the control were 2 major clusters.•This pattern was lost in normal pressure hydrocephalus and restored by surgery.</description><identifier>ISSN: 0022-510X</identifier><identifier>EISSN: 1878-5883</identifier><identifier>DOI: 10.1016/j.jns.2019.01.023</identifier><identifier>PMID: 30682520</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aged ; Aged, 80 and over ; Female ; Gait ; Gait - physiology ; Gait Analysis - instrumentation ; Gait Analysis - methods ; Humans ; Hydrocephalus ; Hydrocephalus, Normal Pressure - diagnosis ; Hydrocephalus, Normal Pressure - physiopathology ; Male ; Smartphone ; Smartphone - instrumentation ; Time and Motion Studies ; Wearable Electronic Devices</subject><ispartof>Journal of the neurological sciences, 2019-03, Vol.398, p.45-49</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-510ddbb0262166b1231ad8634a633b50406865f6f114ee44628635329a53cf403</citedby><cites>FETCH-LOGICAL-c419t-510ddbb0262166b1231ad8634a633b50406865f6f114ee44628635329a53cf403</cites><orcidid>0000-0001-7158-5569</orcidid></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/30682520$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ishikawa, Masatsune</creatorcontrib><creatorcontrib>Yamada, Shigeki</creatorcontrib><creatorcontrib>Yamamoto, Kazuo</creatorcontrib><creatorcontrib>Aoyagi, Yukihiko</creatorcontrib><title>Gait analysis in a component timed-up-and-go test using a smartphone application</title><title>Journal of the neurological sciences</title><addtitle>J Neurol Sci</addtitle><description>The timed-up-and-go test (TUG) is a popular test for mobility, but it only measures the total time to complete tasks. Recent advances in smartphone technology enables measuring respective times of 6 components in the test (Stand, Go, Turn1, Come, Turns and Sit). We examined availability of these data for assessing different gait patterns.
This study enrolled 32 patients with probable idiopathic normal-pressure hydrocephalus and 87 age-matched active participants as controls. All the patients responded positively to cerebrospinal fluid (CSF) removal, among whom 19 underwent surgery with positive outcomes. The TUG was performed using a free smartphone application. The components were automatically detected, and their respective times were computed. Statistical analyses included item cluster analysis.
In the control group, high correlations (r ≥ 0.7) were observed in two pairs of Go and Come, and Turn1 and Turn2, which reflect straight walk and turn. This pattern was lost in the baseline and after CSF removal in the hydrocephalus group. After surgery, the two pairs in the control group regained high correlations. The item cluster analysis showed the pattern changes more clearly.
A smartphone is useful for analyzing gait patterns in the TUG, which can be applicable for various gait disorders.
•Timed-up-and-go test is a popular gait test, but it measures only the total time.•The gait test is composed of Stand, Go, Turn1, Come, Turn2 and Sit.•A smartphone application measures respective times of six components on the test.•The pairs Go and Come, and Turn 1 and Turn2 in the control were 2 major clusters.•This pattern was lost in normal pressure hydrocephalus and restored by surgery.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Female</subject><subject>Gait</subject><subject>Gait - physiology</subject><subject>Gait Analysis - instrumentation</subject><subject>Gait Analysis - methods</subject><subject>Humans</subject><subject>Hydrocephalus</subject><subject>Hydrocephalus, Normal Pressure - diagnosis</subject><subject>Hydrocephalus, Normal Pressure - physiopathology</subject><subject>Male</subject><subject>Smartphone</subject><subject>Smartphone - instrumentation</subject><subject>Time and Motion Studies</subject><subject>Wearable Electronic Devices</subject><issn>0022-510X</issn><issn>1878-5883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMFKxDAQhoMo7rr6AF6kRy-tM0mbbfEkoquwoAcFbyFN0zWlTWuTCvv2ZtnVo6cJzDc_fz5CLhESBOQ3TdJYl1DAIgFMgLIjMsd8mcdZnrNjMgegNM4QPmbkzLkGAHieF6dkxsKDZhTm5HUljY-kle3WGRcZG8lI9d3QW2195E2nq3gaYmmreNNHXjsfTc7YTcBcJ0c_fAYyksPQGiW96e05Oall6_TFYS7I--PD2_1TvH5ZPd_frWOVYuF3raqqLIFyipyXSBnKKucslZyxMoM0NORZzWvEVOs05TQsM0YLmTFVp8AW5HqfO4z91xR6ic44pdtWWt1PTlBcFmnGEVlAcY-qsXdu1LUYRhPKbwWC2IkUjQgixU6kABRBZLi5OsRPZXDwd_FrLgC3e0CHT34bPQqnjLZKV2bUyouqN__E_wBilIHp</recordid><startdate>20190315</startdate><enddate>20190315</enddate><creator>Ishikawa, Masatsune</creator><creator>Yamada, Shigeki</creator><creator>Yamamoto, Kazuo</creator><creator>Aoyagi, Yukihiko</creator><general>Elsevier B.V</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>7X8</scope><orcidid>https://orcid.org/0000-0001-7158-5569</orcidid></search><sort><creationdate>20190315</creationdate><title>Gait analysis in a component timed-up-and-go test using a smartphone application</title><author>Ishikawa, Masatsune ; Yamada, Shigeki ; Yamamoto, Kazuo ; Aoyagi, Yukihiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-510ddbb0262166b1231ad8634a633b50406865f6f114ee44628635329a53cf403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Female</topic><topic>Gait</topic><topic>Gait - physiology</topic><topic>Gait Analysis - instrumentation</topic><topic>Gait Analysis - methods</topic><topic>Humans</topic><topic>Hydrocephalus</topic><topic>Hydrocephalus, Normal Pressure - diagnosis</topic><topic>Hydrocephalus, Normal Pressure - physiopathology</topic><topic>Male</topic><topic>Smartphone</topic><topic>Smartphone - instrumentation</topic><topic>Time and Motion Studies</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ishikawa, Masatsune</creatorcontrib><creatorcontrib>Yamada, Shigeki</creatorcontrib><creatorcontrib>Yamamoto, Kazuo</creatorcontrib><creatorcontrib>Aoyagi, Yukihiko</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the neurological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ishikawa, Masatsune</au><au>Yamada, Shigeki</au><au>Yamamoto, Kazuo</au><au>Aoyagi, Yukihiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gait analysis in a component timed-up-and-go test using a smartphone application</atitle><jtitle>Journal of the neurological sciences</jtitle><addtitle>J Neurol Sci</addtitle><date>2019-03-15</date><risdate>2019</risdate><volume>398</volume><spage>45</spage><epage>49</epage><pages>45-49</pages><issn>0022-510X</issn><eissn>1878-5883</eissn><abstract>The timed-up-and-go test (TUG) is a popular test for mobility, but it only measures the total time to complete tasks. Recent advances in smartphone technology enables measuring respective times of 6 components in the test (Stand, Go, Turn1, Come, Turns and Sit). We examined availability of these data for assessing different gait patterns.
This study enrolled 32 patients with probable idiopathic normal-pressure hydrocephalus and 87 age-matched active participants as controls. All the patients responded positively to cerebrospinal fluid (CSF) removal, among whom 19 underwent surgery with positive outcomes. The TUG was performed using a free smartphone application. The components were automatically detected, and their respective times were computed. Statistical analyses included item cluster analysis.
In the control group, high correlations (r ≥ 0.7) were observed in two pairs of Go and Come, and Turn1 and Turn2, which reflect straight walk and turn. This pattern was lost in the baseline and after CSF removal in the hydrocephalus group. After surgery, the two pairs in the control group regained high correlations. The item cluster analysis showed the pattern changes more clearly.
A smartphone is useful for analyzing gait patterns in the TUG, which can be applicable for various gait disorders.
•Timed-up-and-go test is a popular gait test, but it measures only the total time.•The gait test is composed of Stand, Go, Turn1, Come, Turn2 and Sit.•A smartphone application measures respective times of six components on the test.•The pairs Go and Come, and Turn 1 and Turn2 in the control were 2 major clusters.•This pattern was lost in normal pressure hydrocephalus and restored by surgery.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30682520</pmid><doi>10.1016/j.jns.2019.01.023</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-7158-5569</orcidid></addata></record> |
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subjects | Aged Aged, 80 and over Female Gait Gait - physiology Gait Analysis - instrumentation Gait Analysis - methods Humans Hydrocephalus Hydrocephalus, Normal Pressure - diagnosis Hydrocephalus, Normal Pressure - physiopathology Male Smartphone Smartphone - instrumentation Time and Motion Studies Wearable Electronic Devices |
title | Gait analysis in a component timed-up-and-go test using a smartphone application |
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