Journal article Open Access

A method for gait events detection based on low spatial resolution pressure insoles data

Salis, Francesca; Bertuletti, Stefano; Bonci, Tecla; Croce, Ugo Della; Mazzà, Claudia; Cereatti, Andrea


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.5526474">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.5526474</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.5526474"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Salis, Francesca</foaf:name>
        <foaf:givenName>Francesca</foaf:givenName>
        <foaf:familyName>Salis</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy;</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Bertuletti, Stefano</foaf:name>
        <foaf:givenName>Stefano</foaf:givenName>
        <foaf:familyName>Bertuletti</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy;</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Bonci, Tecla</foaf:name>
        <foaf:givenName>Tecla</foaf:givenName>
        <foaf:familyName>Bonci</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Insigneo Institute for in silico Medicine and Department of Mechanical Engineering, University of Sheffield, Sheffield, UK</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Croce, Ugo Della</foaf:name>
        <foaf:givenName>Ugo Della</foaf:givenName>
        <foaf:familyName>Croce</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Sassari, Italy</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Mazzà, Claudia</foaf:name>
        <foaf:givenName>Claudia</foaf:givenName>
        <foaf:familyName>Mazzà</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Insigneo Institute for in silico Medicine and Department of Mechanical Engineering, University of Sheffield, Sheffield, UK</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Cereatti, Andrea</foaf:name>
        <foaf:givenName>Andrea</foaf:givenName>
        <foaf:familyName>Cereatti</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>A method for gait events detection based on low spatial resolution pressure insoles data</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>gait analysis</dcat:keyword>
    <dcat:keyword>wearable sensors</dcat:keyword>
    <dcat:keyword>pressure insoles</dcat:keyword>
    <dcat:keyword>locomotion</dcat:keyword>
    <dcat:keyword>gait events</dcat:keyword>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/820820/"/>
    <schema:funder>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </schema:funder>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-08-13</dct:issued>
    <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/>
    <owl:sameAs rdf:resource="https://zenodo.org/record/5526474"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5526474</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:relation rdf:resource="https://doi.org/10.1016/j.jbiomech.2021.110687"/>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.5526473"/>
    <dct:isPartOf rdf:resource="https://zenodo.org/communities/mobilise-d"/>
    <dct:description>&lt;p&gt;Abstract: The accurate identification of initial and final foot contacts is a crucial prerequisite for obtaining a reliable estimation of spatio-temporal parameters of gait. Well-accepted gold standard techniques in this field are force platforms and instrumented walkways, which provide a direct measure of the foot&amp;ndash;ground reaction forces. Nonetheless, these tools are expensive, non-portable and restrict the analysis to laboratory settings. Instrumented insoles with a reduced number of pressure sensing elements might overcome these limitations, but a suitable method for gait events identification has not been adopted yet. The aim of this paper was to present and validate a method aiming at filling such void, as applied to a system including two insoles with 16 pressure sensing elements (element area&amp;nbsp;=&amp;nbsp;310&amp;nbsp;mm&lt;sup&gt;2&lt;/sup&gt;), sampling at 100&amp;nbsp;Hz. Gait events were identified exploiting the sensor redundancy and a cluster-based strategy. The method was tested in the laboratory against force platforms on nine healthy subjects for a total of 801 initial and final contacts. Initial and final contacts were detected with low average errors of (about 20&amp;nbsp;ms and 10&amp;nbsp;ms, respectively). Similarly, the errors in estimating stance duration and step duration averaged 20&amp;nbsp;ms and &amp;lt;10&amp;nbsp;ms, respectively. By selecting appropriate thresholds, the method may be easily applied to other pressure insoles featuring similar requirements.&lt;/p&gt; &lt;p&gt;This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union&amp;#39;s Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors&amp;rsquo; view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.5526474"/>
        <dcat:byteSize>829445</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/5526474/files/Salis_et_al_2021.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/820820/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">820820</dct:identifier>
    <dct:title>Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement</dct:title>
    <frapo:isAwardedBy>
      <foaf:Organization>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier>
        <foaf:name>European Commission</foaf:name>
      </foaf:Organization>
    </frapo:isAwardedBy>
  </foaf:Project>
</rdf:RDF>
149
88
views
downloads
All versions This version
Views 149149
Downloads 8888
Data volume 73.0 MB73.0 MB
Unique views 121121
Unique downloads 8383

Share

Cite as