Conference paper Open Access

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks

Dimitrios Iakovakis; Stelios Hadjidimitriou; Vasileios Charisis; Sevasti Bostanjopoulou; Zoe Katsarou; Lisa Klingelhoefer; Simone Mayer; Heinz Reichmann; Sofia B. Dias; José A. Diniz; Dhaval Trivedi; Ray K. Chaudhuri; Leontios J. Hadjileontiadis


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.3675381">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Text"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.3675381</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.3675381"/>
    <dct:creator>
      <rdf:Description rdf:about="http://orcid.org/0000-0002-6854-5942">
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0002-6854-5942</dct:identifier>
        <foaf:name>Dimitrios Iakovakis</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Aristotle University of Thessaloniki</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>Stelios Hadjidimitriou</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Aristotle University of Thessaloniki</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>Vasileios Charisis</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Aristotle University of Thessaloniki</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>Sevasti Bostanjopoulou</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Neurology, Hippokration Hospital</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>Zoe Katsarou</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Neurology, Hippokration Hospital Thessaloniki</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>Lisa Klingelhoefer</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Neurology Technical University Dresden</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>Simone Mayer</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Neurology Technical University Dresden</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>Heinz Reichmann</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Neurology Technical University Dresden</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>Sofia B. Dias</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Faculdade de Motricidade Humana Universidade de Lisboa</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>José A. Diniz</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Faculdade de Motricidade Humana Universidade de Lisboa</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>Dhaval Trivedi</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>International Parkinson Excellence Research Centre, King's College Hospital NHS Foundation Trust, London, United Kingdom</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>Ray K. Chaudhuri</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>International Parkinson Excellence Research Centre, King's College Hospital NHS Foundation Trust, London, United Kingdom</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>Leontios J. Hadjileontiadis</foaf:name>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Aristotle University of Thessaloniki</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks</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">2019</dct:issued>
    <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/690494/"/>
    <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">2019-07-28</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/3675381"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3675381</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.3675380"/>
    <dct:description>&lt;p&gt;Parkinson&amp;rsquo;s Disease (PD) is the second most&amp;nbsp;common neurodegenerative disorder worldwide, causing both&amp;nbsp;motor and non-motor&amp;nbsp; symptoms. In the early stages, symptoms&amp;nbsp;are mild and patients may ignore their existence. As a result,&amp;nbsp;they do not undergo any related clinical examination; hence delaying their PD diagnosis. In an effort to remedy such delay,&amp;nbsp;analysis of data passively&amp;nbsp; captured from user&amp;rsquo;s interaction with&amp;nbsp;consumer technologies has been recently explored towards&amp;nbsp;remote screening of early PD motor signs. In the current study,&amp;nbsp;a smartphone-based method analyzing subjects&amp;rsquo; finger&amp;nbsp;interaction with the smartphone screen is developed for the&amp;nbsp;quantification of fine-motor skills decline in early PD using&amp;nbsp;Convolutional Neural Networks. Experimental results from the&amp;nbsp;analysis of keystroke typing in-the-clinic data from 18 early PD&amp;nbsp;patients and 15 healthy controls have shown a classification&lt;br&gt; performance of 0.89 Area Under the Curve (AUC) with 0.79/0.79&amp;nbsp;sensitivity/specificity, respectively. Evaluation of the&amp;nbsp;generalization ability of the proposed approach was made by its&amp;nbsp;application on typing data arising from a separate self-reported&amp;nbsp;cohort of 27 PD patients&amp;rsquo; and 84 healthy controls&amp;rsquo; daily usage&amp;nbsp;with their personal smartphones (data in-the-wild), achieving&amp;nbsp;0.79 AUC with 0.74/0.78 sensitivity/specificity, respectively. The&amp;nbsp;results show the potentiality of the proposed approach to process&amp;nbsp;keystroke dynamics arising from users&amp;rsquo; natural typing activity&amp;nbsp;to detect PD, which contributes to the development of digital&amp;nbsp;tools for remote pathological symptom screening.&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>
    <dcat:distribution>
      <dcat:Distribution>
        <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.3675381"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3675381</dcat:accessURL>
        <dcat:byteSize>4982892</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3675381/files/EMBC_Keystroke_Dynamics_Final_212019.docx</dcat:downloadURL>
        <dcat:mediaType>application/vnd.openxmlformats-officedocument.wordprocessingml.document</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
  <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/690494/">
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">690494</dct:identifier>
    <dct:title>Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS</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>
69
7
views
downloads
All versions This version
Views 6969
Downloads 77
Data volume 34.9 MB34.9 MB
Unique views 6262
Unique downloads 77

Share

Cite as