May 8, 2017 Presentation Closed Access

Kristoffersen, Morten Bak; Franzke, Andreas; Murgia, Alessio; van der Sluis, Corry; Bongers, Raoul M.

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  "created": "2018-03-28T16:24:32.173130+00:00", 
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    "creators": [
      {
        "affiliation": "University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands", 
        "name": "Kristoffersen, Morten Bak", 
        "orcid": "0000-0002-3901-2856"
      }, 
      {
        "affiliation": "University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands", 
        "name": "Franzke, Andreas"
      }, 
      {
        "affiliation": "University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands", 
        "name": "Murgia, Alessio"
      }, 
      {
        "affiliation": "University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands", 
        "name": "van der Sluis, Corry"
      }, 
      {
        "affiliation": "University of Groningen, University Medical Center Groningen, Center for Human Movement Sciences, Groningen, the Netherlands", 
        "name": "Bongers, Raoul M."
      }
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    "description": "<p>BACKGROUND<br>\nIndividuals with upper-limb deficiency who are fitted<br>\nwith a prosthesis are normally trained in the use of<br>\nsuch device. During training pattern-recognition based<br>\ncontrol, the way training improves control skills and<br>\nwhat kind of feedback facilitates skill acquisition is<br>\nstill poorly understood. Moreover no training protocols<br>\nfor pattern-recognition control have been described in<br>\nthe literature that do not require an expert trainer which<br>\nlimits the clinical applicability of pattern-recognition<br>\ncontrolled prosthetics.<br>\nAIM<br>\nThe aim of this study is to investigate how different<br>\nkinds of feedback improve the control skills of patternrecognition<br>\ncontrol.<br>\nMETHOD<br>\nNine able-bodied volunteers participated in an<br>\ninitial experiment in which they either performed<br>\nconventional system training or gamified system<br>\ntraining with no prior user training. Based on the results<br>\nof the initial experiment, a follow-up experiment will<br>\nbe conducted where four different kinds of training<br>\nregimes are investigated namely; conventional training<br>\nwith knowledge of results but without coaching,<br>\nconventional training with knowledge of results and<br>\nknowledge of performance, serious game training or<br>\ntraining with no feedback (control). Each group will<br>\ninclude 15 participants, who train one hour per day for<br>\nfive consecutive days. Offline and online accuracy as<br>\nwell as the repeatability index, separability index and<br>\nmean semi-principal axis [1] will be reported for each<br>\ngroup.<br>\nRESULTS<br>\nIn the initial experiment control performance was<br>\nmeasured using the motion test [2] and a questionnaire<br>\nwas used to measure the participants experience of<br>\nthe system training and evaluation. No significant<br>\ndifferences were found between the groups.<br>\nPreliminary results of the follow-up experiment will<br>\nalso be reported.<br>\nDISCUSSION &amp; CONCLUSION<br>\nThe finding that no differences were found between<br>\nthe groups in the initial experiment could be ascribed<br>\nto the way the game targets were set in the gamified<br>\nsystem training and to an unintuitive mapping<br>\nbetween movement and game control. In the followup<br>\nexperiment that will be performed a fixed mapping<br>\ninspired by Radhakrishnan et. al [3] is used where the<br>\nelectromyogram measured at each electrode located on<br>\nthe forearm is mapped to a direction.<br>\nREFERENCES<br>\n1. Bunderson NE et. al, IEEE T Neur Sys Reh. 2012<br>\n2. Kuiken TA et. al, J Am Med Assoc. 2009<br>\n3. Radhakrisnan S. et. al, J Neurophysiol. 2008</p>", 
    "doi": "10.5281/zenodo.1209334", 
    "grants": [
      {
        "acronym": "INPUT", 
        "code": "687795", 
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          "acronyms": [
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          "doi": "10.13039/501100000780", 
          "links": {
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          "name": "European Commission"
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        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::687795"
        }, 
        "program": "H2020", 
        "title": "Intuitive Natural Prosthesis UTilization"
      }
    ], 
    "keywords": [
      "Serious games", 
      "User training", 
      "Motor learning", 
      "Prosthesis", 
      "Myocontrol", 
      "Pattern-recognition"
    ], 
    "meeting": {
      "acronym": "ISPO", 
      "dates": "8-11 May 2017", 
      "place": "Cape Town, South Africa", 
      "title": "INTERNATIONAL SOCIETY FOR PROSTHETICS AND ORTHOTICS"
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    "publication_date": "2017-05-08", 
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    "title": "User training for pattern-recognition based myoelectric prostheses using a serious game"
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