Journal article Open Access

A patient-controlled functional electrical stimulation system for arm weight relief

Klauer, Christian; Ferrante, Simona; Ambrosini, Emilia; Shiri, U; Dähne, F; Schmehl, I; Pedrocchi, Alessandra; Schauer, Thomas


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  <identifier identifierType="URL">https://zenodo.org/record/1240916</identifier>
  <creators>
    <creator>
      <creatorName>Klauer, Christian</creatorName>
      <givenName>Christian</givenName>
      <familyName>Klauer</familyName>
      <affiliation>Technische Universität Berlin</affiliation>
    </creator>
    <creator>
      <creatorName>Ferrante, Simona</creatorName>
      <givenName>Simona</givenName>
      <familyName>Ferrante</familyName>
      <affiliation>Politecnico di Milano</affiliation>
    </creator>
    <creator>
      <creatorName>Ambrosini, Emilia</creatorName>
      <givenName>Emilia</givenName>
      <familyName>Ambrosini</familyName>
      <affiliation>Politecnico di Milano</affiliation>
    </creator>
    <creator>
      <creatorName>Shiri, U</creatorName>
      <givenName>U</givenName>
      <familyName>Shiri</familyName>
      <affiliation>Klinik für Neurologie mit Stroke Unit und Frührehabilitation</affiliation>
    </creator>
    <creator>
      <creatorName>Dähne, F</creatorName>
      <givenName>F</givenName>
      <familyName>Dähne</familyName>
      <affiliation>Klinik für Neurologie mit Stroke Unit und Frührehabilitation</affiliation>
    </creator>
    <creator>
      <creatorName>Schmehl, I</creatorName>
      <givenName>I</givenName>
      <familyName>Schmehl</familyName>
      <affiliation>Klinik für Neurologie mit Stroke Unit und Frührehabilitation</affiliation>
    </creator>
    <creator>
      <creatorName>Pedrocchi, Alessandra</creatorName>
      <givenName>Alessandra</givenName>
      <familyName>Pedrocchi</familyName>
      <affiliation>Politecnico di Milano</affiliation>
    </creator>
    <creator>
      <creatorName>Schauer, Thomas</creatorName>
      <givenName>Thomas</givenName>
      <familyName>Schauer</familyName>
      <affiliation>Technische Universität Berlin</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A patient-controlled functional electrical stimulation system for arm weight relief</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-11-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1240916</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.medengphy.2016.06.006</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;A patient-driven control strategy for Functional Electrical Stimulation (FES), which amplifies volitionally-initiated shoulder abductions, is proposed to improve stroke patients&amp;#39; rehabilitation. Based on the measured abduction angle, a FES-induced muscle recruitment is generated that yields a pre-specified percentage of this angle - yielding arm weight relief. To guarantee the correct recruitment also under fatigue and uncertain muscle activation we employ feedback control of the recruitment level determined by filtering the FES-evoked electromyogram. Filter parameters are user-optimized to obtain a linear relation between filter output and angle with a good signal-to-noise ratio. The auto-tuned recruitment controller (RC) was tested on five healthy subjects and compared to direct stimulation (DS) while muscle fatigue progressively occurred. Results showed a more linear relation between recruitment level and angle than between non-controlled stimulation intensity and angle (R&lt;sup&gt;2&lt;/sup&gt;=0.93 vs. R&lt;sup&gt;2&lt;/sup&gt;=0.79, angular range of 54&amp;deg;). After 6&amp;nbsp;min of stimulation, abduction decreased by 42% &amp;plusmn; 14 for DS and by 0% &amp;plusmn; 12 for RC, showing an effective compensation of fatigue. RC yielded significant smaller errors than DS in generating desired angles (0.23% &amp;plusmn; 5.9 vs. 14.6% &amp;plusmn; 9.7). When FES-induced arm weight support was provided, a mean reduction of the volitional effort (determined by Electromyography) of 78% was achieved compared to angular tracking without FES. First experiments with one acute stroke patient are also reported.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/644721/">644721</awardNumber>
      <awardTitle>REaching and grasping Training based on Robotic hybrid AssIstance for Neurological patients: End users Real life evaluation</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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