Conference paper Open Access

Moving towards a sustainable management of Parkinson's disease: The i-PROGNOSIS Personalized Game Suite approach

S. B. Dias; J. A. Diniz; E. Konstantinidis; P. Bamidis; S. Hadjidimitriou; V. Charisis; M. Stadtschnitzer; P. Fagerberg; I. Ioakeimidis; L. J. Hadjileontiadis


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  <identifier identifierType="DOI">10.5281/zenodo.1199575</identifier>
  <creators>
    <creator>
      <creatorName>S. B. Dias</creatorName>
      <affiliation>Faculdade de Motricidade Humana, Universidade de Lisboa, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>J. A. Diniz</creatorName>
      <affiliation>Faculdade de Motricidade Humana, Universidade de Lisboa, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>E. Konstantinidis</creatorName>
      <affiliation>Dept. of Medical Physics, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>P. Bamidis</creatorName>
      <affiliation>Dept. of Medical Physics, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>S. Hadjidimitriou</creatorName>
      <affiliation>Dept. of Electrical &amp; Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>V. Charisis</creatorName>
      <affiliation>Dept. of Electrical &amp; Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>M. Stadtschnitzer</creatorName>
      <affiliation>Fraunhofer Institute IAIS, Sankt Augustin, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>P. Fagerberg</creatorName>
      <affiliation>Karolinska Institutet, Stockholm, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>I. Ioakeimidis</creatorName>
      <affiliation>Karolinska Institutet, Stockholm, Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>L. J. Hadjileontiadis</creatorName>
      <affiliation>Dept. of Electrical &amp; Computer Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece; Dept. of Electrical &amp; Computer Engineering, Khalifa University, PO BOX 127788, Abu Dhabi, UAE</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Moving towards a sustainable management of Parkinson's disease: The i-PROGNOSIS Personalized Game Suite approach</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Healthy Ageing</subject>
    <subject>Parkinson's Disease</subject>
    <subject>Personalized Game Suite</subject>
    <subject>i-PROGNOSIS</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-05-04</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1199575</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1199574</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Introduction. The use of apps and/or games in healthcare interventions have gained popularity, however, there is still a gap in the understanding on how these types of interventions are used for a sustainable management of Parkinson disease (PD).&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
Materials and Methods. Targeting intelligent early detection and intervention in PD area, the Personalized Game Suite (PGS) approach is presented here (mainly based on different goal-oriented activities through a virtual environment), as part of the H2020 i-Prognosis project (www.i-prognosis.eu), that introduces the integration of different serious games in a unified platform, namely: 1) ExerGames, 2) DietaryGames, 3) EmoGames, and 4) Hand writing/Voice (H/V) Games). The PGS tackles the PD symptoms as it incorporates the practicing of walk movement, improvement of gait mechanisms, balance and coordination aspects, encouragement and/or re-education of healthy and balanced diet, retraining of eating behaviour, improvement of facial expressiveness, improvement/maintaining of writing skills, practicing of narration/vowels/letters and speech dynamics.&lt;/p&gt;

&lt;p&gt;Results. Via the PGS, the management of the PD patient&amp;rsquo;s condition is placed within a serious games context, in order to improve, sustain or slowing down its progressive deterioration, taking into account safety, feasibility, personalization, socialization, and behavioural change aspects.&lt;/p&gt;

&lt;p&gt;Discussion and Conclusion. The PGS: i) provides opportunities for the progressive use of self-assessment tools/games into more specific and integrated monitoring tools; ii) uses the app/games to set up simple routine to better manage patient&amp;rsquo;s healthy life; iii) helps family/friends/caregivers to understand the evolution of PD through games and activities; and iv) plans different kind of game-scenarios according to the needs of the patients. The realization of PGS sets the basis for establishing a holistic framework that could aim at improving not only motor and non-motor symptoms, but also behavioural and cognitive impairments in PD, informing health care providers and policy makers for its inclusion in routine management for PD.&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/H2020/690494/">690494</awardNumber>
      <awardTitle>Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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