Poster Open Access

Current Issues with Multi-DOF Myoelectric Hand Prostheses and Indications for Testing Pattern Recognition Based Control

Franzke, AW; Bongers, RM, Pobatschnig, B; Unglaube, F; Kranzl, A; Murgia, A; Sluis, CK van der


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Franzke, AW; Bongers, RM, Pobatschnig, B; Unglaube, F; Kranzl, A; Murgia, A; Sluis, CK van der</dc:creator>
  <dc:date>2018-04-13</dc:date>
  <dc:description>Myoelectric prosthetic hands have advanced to multi functional, multi degree-of-freedom (DOF) devices. However, potential benefits and disadvantages of these prosthetic hands from user perspectives have seldom been addressed in the literature. Moreover, while pattern recognition (PR) myoelectric control has gained increasing attention in the literature and has been suggested as more intuitive control for multi-function prostheses, most state of the art myoelectric prostheses are still controlled via conventional control. Therefore knowledge is scarce with regard to performance of multi-function hands and PR control in everyday life of the user.

This poster was also presented at the ISPO JAARCONGRES 2017 - “CAPE TOWN AAN DE VECHT” on 6th October 2017 in Houten, The Netherlands</dc:description>
  <dc:identifier>https://zenodo.org/record/1217960</dc:identifier>
  <dc:identifier>10.5281/zenodo.1217960</dc:identifier>
  <dc:identifier>oai:zenodo.org:1217960</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/687795/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.1217959</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>myoelectric prostheses</dc:subject>
  <dc:subject>pattern recognition</dc:subject>
  <dc:subject>myoelectric control</dc:subject>
  <dc:subject>upper limb prostheses</dc:subject>
  <dc:title>Current Issues with Multi-DOF Myoelectric Hand Prostheses and Indications for Testing Pattern Recognition Based Control</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePoster</dc:type>
  <dc:type>poster</dc:type>
</oai_dc:dc>
90
5
views
downloads
All versions This version
Views 9087
Downloads 55
Data volume 28.7 MB28.7 MB
Unique views 8178
Unique downloads 44

Share

Cite as