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Identifying Dyscalculia Symptoms Related to Magnocellular Reasoning Using Smartphones
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. University of Bergen, Norway.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. University of Bergen, Norway.
2016 (English)In: UNIFYING THE APPLICATIONS AND FOUNDATIONS OF BIOMEDICAL AND HEALTH INFORMATICS, IOS PRESS , 2016, Vol. 226, p. 229-232Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a study that has developed a mobile software application for assisting diagnosis of learning disabilities in mathematics, called dyscalculia, and measuring correlations between dyscalculia symptoms and magnocellular reasoning. Usually, software aids for dyscalculic individuals are focused on both assisting diagnosis and teaching the material. The software developed in this study however maintains a specific focus on the former, and in the process attempts to capture alleged correlations between dyscalculia symptoms and possible underlying causes of the condition. Classification of symptoms is performed by k-Nearest Neighbor algorithm classifying five parameters evaluating users skills, returning calculated performance in each category as well as correlation strength between detected symptoms and magnocellular reasoning abilities. Expert evaluations has found the application to be appropriate and productive for its intended purpose, proving that mobile software is a suitable and valuable tool for assisting dyscalculia diagnosis and identifying root causes of developing the condition.

Place, publisher, year, edition, pages
IOS PRESS , 2016. Vol. 226, p. 229-232
Series
Studies in Health Technology and Informatics, ISSN 0926-9630
Keywords [en]
Dyscalculia; magnocellular cells; k-Nearest Neighbor; mobile application
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-132575DOI: 10.3233/978-1-61499-664-4-229ISI: 000385446600054ISBN: 978-1-61499-664-4; 978-1-61499-663-7 (print)OAI: oai:DiVA.org:liu-132575DiVA, id: diva2:1046655
Conference
14th Annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH)
Available from: 2016-11-14 Created: 2016-11-14 Last updated: 2016-11-14

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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