SeeSway - A free web-based system for analysing and exploring standing balance data.
Identifieur interne : 000356 ( Main/Exploration ); précédent : 000355; suivant : 000357SeeSway - A free web-based system for analysing and exploring standing balance data.
Auteurs : Ross A. Clark [Australie] ; Yong-Hao Pua [Singapour]Source :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2018.
Descripteurs français
- KwdFr :
- Accélération (MeSH), Algorithmes (MeSH), Analyse en ondelettes (MeSH), Chutes accidentelles (prévention et contrôle), Déplacement (MeSH), Humains (MeSH), Internet (MeSH), Langages de programmation (MeSH), Logiciel (MeSH), Pression (MeSH), Surveillance électronique ambulatoire (méthodes), Traitement du signal assisté par ordinateur (MeSH), Équilibre postural (MeSH).
- MESH :
- méthodes : Surveillance électronique ambulatoire.
- prévention et contrôle : Chutes accidentelles.
- Accélération, Algorithmes, Analyse en ondelettes, Déplacement, Humains, Internet, Langages de programmation, Logiciel, Pression, Traitement du signal assisté par ordinateur, Équilibre postural.
English descriptors
- KwdEn :
- Acceleration (MeSH), Accidental Falls (prevention & control), Algorithms (MeSH), Humans (MeSH), Internet (MeSH), Monitoring, Ambulatory (methods), Motion (MeSH), Postural Balance (MeSH), Pressure (MeSH), Programming Languages (MeSH), Signal Processing, Computer-Assisted (MeSH), Software (MeSH), Wavelet Analysis (MeSH).
- MESH :
- methods : Monitoring, Ambulatory.
- prevention & control : Accidental Falls.
- Acceleration, Algorithms, Humans, Internet, Motion, Postural Balance, Pressure, Programming Languages, Signal Processing, Computer-Assisted, Software, Wavelet Analysis.
Abstract
BACKGROUND AND OBJECTIVES
Computerised posturography can be used to assess standing balance, and can predict poor functional outcomes in many clinical populations. A key limitation is the disparate signal filtering and analysis techniques, with many methods requiring custom computer programs. This paper discusses the creation of a freely available web-based software program, SeeSway (www.rehabtools.org/seesway), which was designed to provide powerful tools for pre-processing, analysing and visualising standing balance data in an easy to use and platform independent website.
METHODS
SeeSway links an interactive web platform with file upload capability to software systems including LabVIEW, Matlab, Python and R to perform the data filtering, analysis and visualisation of standing balance data. Input data can consist of any signal that comprises an anterior-posterior and medial-lateral coordinate trace such as center of pressure or mass displacement. This allows it to be used with systems including criterion reference commercial force platforms and three dimensional motion analysis, smartphones, accelerometers and low-cost technology such as Nintendo Wii Balance Board and Microsoft Kinect. Filtering options include Butterworth, weighted and unweighted moving average, and discrete wavelet transforms. Analysis methods include standard techniques such as path length, amplitude, and root mean square in addition to less common but potentially promising methods such as sample entropy, detrended fluctuation analysis and multiresolution wavelet analysis. These data are visualised using scalograms, which chart the change in frequency content over time, scatterplots and standard line charts. This provides the user with a detailed understanding of their results, and how their different pre-processing and analysis method selections affect their findings.
RESULTS
An example of the data analysis techniques is provided in the paper, with graphical representation of how advanced analysis methods can better discriminate between someone with neurological impairment and a healthy control.
CONCLUSIONS
The goal of SeeSway is to provide a simple yet powerful educational and research tool to explore how standing balance is affected in aging and clinical populations.
DOI: 10.1016/j.cmpb.2018.02.019
PubMed: 29650316
Affiliations:
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Electronic address: rclark@usc.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Health and Sports Science, University of the Sunshine Coast</wicri:regionArea><wicri:noRegion>University of the Sunshine Coast</wicri:noRegion></affiliation></author><author><name sortKey="Pua, Yong Hao" sort="Pua, Yong Hao" uniqKey="Pua Y" first="Yong-Hao" last="Pua">Yong-Hao Pua</name><affiliation wicri:level="1"><nlm:affiliation>Department of Physiotherapy, Singapore General Hospital, Singapore.</nlm:affiliation><country xml:lang="fr">Singapour</country><wicri:regionArea>Department of Physiotherapy, Singapore General Hospital</wicri:regionArea><wicri:noRegion>Singapore General Hospital</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2018">2018</date><idno type="RBID">pubmed:29650316</idno><idno type="pmid">29650316</idno><idno type="doi">10.1016/j.cmpb.2018.02.019</idno><idno type="wicri:Area/Main/Corpus">000400</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000400</idno><idno type="wicri:Area/Main/Curation">000400</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000400</idno><idno type="wicri:Area/Main/Exploration">000400</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">SeeSway - A free web-based system for analysing and exploring standing balance data.</title><author><name sortKey="Clark, Ross A" sort="Clark, Ross A" uniqKey="Clark R" first="Ross A" last="Clark">Ross A. Clark</name><affiliation wicri:level="1"><nlm:affiliation>School of Health and Sports Science, University of the Sunshine Coast, Australia. Electronic address: rclark@usc.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Health and Sports Science, University of the Sunshine Coast</wicri:regionArea><wicri:noRegion>University of the Sunshine Coast</wicri:noRegion></affiliation></author><author><name sortKey="Pua, Yong Hao" sort="Pua, Yong Hao" uniqKey="Pua Y" first="Yong-Hao" last="Pua">Yong-Hao Pua</name><affiliation wicri:level="1"><nlm:affiliation>Department of Physiotherapy, Singapore General Hospital, Singapore.</nlm:affiliation><country xml:lang="fr">Singapour</country><wicri:regionArea>Department of Physiotherapy, Singapore General Hospital</wicri:regionArea><wicri:noRegion>Singapore General Hospital</wicri:noRegion></affiliation></author></analytic><series><title level="j">Computer methods and programs in biomedicine</title><idno type="eISSN">1872-7565</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acceleration (MeSH)</term><term>Accidental Falls (prevention & control)</term><term>Algorithms (MeSH)</term><term>Humans (MeSH)</term><term>Internet (MeSH)</term><term>Monitoring, Ambulatory (methods)</term><term>Motion (MeSH)</term><term>Postural Balance (MeSH)</term><term>Pressure (MeSH)</term><term>Programming Languages (MeSH)</term><term>Signal Processing, Computer-Assisted (MeSH)</term><term>Software (MeSH)</term><term>Wavelet Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Accélération (MeSH)</term><term>Algorithmes (MeSH)</term><term>Analyse en ondelettes (MeSH)</term><term>Chutes accidentelles (prévention et contrôle)</term><term>Déplacement (MeSH)</term><term>Humains (MeSH)</term><term>Internet (MeSH)</term><term>Langages de programmation (MeSH)</term><term>Logiciel (MeSH)</term><term>Pression (MeSH)</term><term>Surveillance électronique ambulatoire (méthodes)</term><term>Traitement du signal assisté par ordinateur (MeSH)</term><term>Équilibre postural (MeSH)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Monitoring, Ambulatory</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Surveillance électronique ambulatoire</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Accidental Falls</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Chutes accidentelles</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acceleration</term><term>Algorithms</term><term>Humans</term><term>Internet</term><term>Motion</term><term>Postural Balance</term><term>Pressure</term><term>Programming Languages</term><term>Signal Processing, Computer-Assisted</term><term>Software</term><term>Wavelet Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Accélération</term><term>Algorithmes</term><term>Analyse en ondelettes</term><term>Déplacement</term><term>Humains</term><term>Internet</term><term>Langages de programmation</term><term>Logiciel</term><term>Pression</term><term>Traitement du signal assisté par ordinateur</term><term>Équilibre postural</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND AND OBJECTIVES</b></p><p>Computerised posturography can be used to assess standing balance, and can predict poor functional outcomes in many clinical populations. A key limitation is the disparate signal filtering and analysis techniques, with many methods requiring custom computer programs. This paper discusses the creation of a freely available web-based software program, SeeSway (www.rehabtools.org/seesway), which was designed to provide powerful tools for pre-processing, analysing and visualising standing balance data in an easy to use and platform independent website.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>SeeSway links an interactive web platform with file upload capability to software systems including LabVIEW, Matlab, Python and R to perform the data filtering, analysis and visualisation of standing balance data. Input data can consist of any signal that comprises an anterior-posterior and medial-lateral coordinate trace such as center of pressure or mass displacement. This allows it to be used with systems including criterion reference commercial force platforms and three dimensional motion analysis, smartphones, accelerometers and low-cost technology such as Nintendo Wii Balance Board and Microsoft Kinect. Filtering options include Butterworth, weighted and unweighted moving average, and discrete wavelet transforms. Analysis methods include standard techniques such as path length, amplitude, and root mean square in addition to less common but potentially promising methods such as sample entropy, detrended fluctuation analysis and multiresolution wavelet analysis. These data are visualised using scalograms, which chart the change in frequency content over time, scatterplots and standard line charts. This provides the user with a detailed understanding of their results, and how their different pre-processing and analysis method selections affect their findings.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>An example of the data analysis techniques is provided in the paper, with graphical representation of how advanced analysis methods can better discriminate between someone with neurological impairment and a healthy control.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The goal of SeeSway is to provide a simple yet powerful educational and research tool to explore how standing balance is affected in aging and clinical populations.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29650316</PMID><DateCompleted><Year>2018</Year><Month>10</Month><Day>22</Day></DateCompleted><DateRevised><Year>2018</Year><Month>10</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1872-7565</ISSN><JournalIssue CitedMedium="Internet"><Volume>159</Volume><PubDate><Year>2018</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Computer methods and programs in biomedicine</Title><ISOAbbreviation>Comput Methods Programs Biomed</ISOAbbreviation></Journal><ArticleTitle>SeeSway - A free web-based system for analysing and exploring standing balance data.</ArticleTitle><Pagination><MedlinePgn>31-36</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0169-2607(17)31359-7</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.cmpb.2018.02.019</ELocationID><Abstract><AbstractText Label="BACKGROUND AND OBJECTIVES" NlmCategory="OBJECTIVE">Computerised posturography can be used to assess standing balance, and can predict poor functional outcomes in many clinical populations. A key limitation is the disparate signal filtering and analysis techniques, with many methods requiring custom computer programs. This paper discusses the creation of a freely available web-based software program, SeeSway (www.rehabtools.org/seesway), which was designed to provide powerful tools for pre-processing, analysing and visualising standing balance data in an easy to use and platform independent website.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">SeeSway links an interactive web platform with file upload capability to software systems including LabVIEW, Matlab, Python and R to perform the data filtering, analysis and visualisation of standing balance data. Input data can consist of any signal that comprises an anterior-posterior and medial-lateral coordinate trace such as center of pressure or mass displacement. This allows it to be used with systems including criterion reference commercial force platforms and three dimensional motion analysis, smartphones, accelerometers and low-cost technology such as Nintendo Wii Balance Board and Microsoft Kinect. Filtering options include Butterworth, weighted and unweighted moving average, and discrete wavelet transforms. Analysis methods include standard techniques such as path length, amplitude, and root mean square in addition to less common but potentially promising methods such as sample entropy, detrended fluctuation analysis and multiresolution wavelet analysis. These data are visualised using scalograms, which chart the change in frequency content over time, scatterplots and standard line charts. This provides the user with a detailed understanding of their results, and how their different pre-processing and analysis method selections affect their findings.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">An example of the data analysis techniques is provided in the paper, with graphical representation of how advanced analysis methods can better discriminate between someone with neurological impairment and a healthy control.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The goal of SeeSway is to provide a simple yet powerful educational and research tool to explore how standing balance is affected in aging and clinical populations.</AbstractText><CopyrightInformation>Copyright © 2018 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Clark</LastName><ForeName>Ross A</ForeName><Initials>RA</Initials><AffiliationInfo><Affiliation>School of Health and Sports Science, University of the Sunshine Coast, Australia. Electronic address: rclark@usc.edu.au.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pua</LastName><ForeName>Yong-Hao</ForeName><Initials>YH</Initials><AffiliationInfo><Affiliation>Department of Physiotherapy, Singapore General Hospital, Singapore.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>02</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>Ireland</Country><MedlineTA>Comput Methods Programs Biomed</MedlineTA><NlmUniqueID>8506513</NlmUniqueID><ISSNLinking>0169-2607</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000054" MajorTopicYN="N">Acceleration</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000058" MajorTopicYN="N">Accidental Falls</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020407" MajorTopicYN="Y">Internet</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018670" MajorTopicYN="N">Monitoring, Ambulatory</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009038" MajorTopicYN="N">Motion</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004856" MajorTopicYN="Y">Postural Balance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011312" MajorTopicYN="N">Pressure</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011381" MajorTopicYN="N">Programming Languages</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012815" MajorTopicYN="N">Signal Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012984" MajorTopicYN="Y">Software</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058067" MajorTopicYN="N">Wavelet Analysis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Balance</Keyword><Keyword MajorTopicYN="N">Center of pressure</Keyword><Keyword MajorTopicYN="N">Falls</Keyword><Keyword MajorTopicYN="N">Force platform</Keyword><Keyword MajorTopicYN="N">Posturography</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>11</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>02</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>02</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>4</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>4</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>10</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29650316</ArticleId><ArticleId IdType="pii">S0169-2607(17)31359-7</ArticleId><ArticleId IdType="doi">10.1016/j.cmpb.2018.02.019</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li><li>Singapour</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Clark, Ross A" sort="Clark, Ross A" uniqKey="Clark R" first="Ross A" last="Clark">Ross A. Clark</name></noRegion></country><country name="Singapour"><noRegion><name sortKey="Pua, Yong Hao" sort="Pua, Yong Hao" uniqKey="Pua Y" first="Yong-Hao" last="Pua">Yong-Hao Pua</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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