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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2019.1.VDA-682</article-id>
      <article-id pub-id-type="sici">2470-1173(20190113)2019:1L.6821;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2019n1_inputei_24701173_v2019n1/s8.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2019/00002019/00000001/art00008</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Correlation Visualisation for sleep data analytics in SWAPP (Sleep Wake Application)</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Vincent</surname>
            <given-names>Amal</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Gupta</surname>
            <given-names>Ankit</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Shaw</surname>
            <given-names>Chris</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Li</surname>
            <given-names>Ruoyu</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>13</day>
        <month>01</month>
        <year>2019</year>
      </pub-date>
      <volume>2019</volume>
      <issue>1</issue>
      <fpage>682-1</fpage>
      <lpage>682-10</lpage>
      <permissions>
        <copyright-year>2019</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>Sleep plays an important role in the overall health and wellbeing of a child. The relationship between sleep and daytime behaviours of children with neurodevelopmental disorders is understood poorly; different aspects of a child’s routine may interact with each other to contribute
 to sleep disorders. In order to diagnose, monitor and successfully treat many medical conditions pertaining to sleep, it becomes imperative to analyse the many aspects of a child’s daytime and sleep behaviours. In this paper, we propose a visual analytic tool for studying the interaction
 of different variables collected for a child with neurodevelopmental disorders. We propose a visual analytic tool which allows clinicians to explore how the different aspects of a child’s behaviour and activities affect their sleep. This tool is developed as an extension of an existing
 tool SWAPP, which allows caregivers and clinicians to log and monitor the child’s everyday data.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>Correlation</kwd>
        <kwd>Visual analytics</kwd>
        <kwd>Health informatics</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
