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Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises

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Artificial Intelligence in Medicine (AIME 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5651))

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Abstract

Cognitive rehabilitation may benefit from computer-based approaches that, with respect to paper-based ones, allow managing big amounts of stimuli (images, sounds, written texts) and combining them to create ever-new exercises. Moreover, they allow storing and analysing patients’ performance, that may vary in time, thus increasing/decreasing difficulty of the exercises accordingly. An ontological organisation of the stimuli may help to automatically generate patient-tailored exercises, accounting for patients’ performance, skills and preferences.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Systems, University of Pavia, Italy

    Silvana Quaglini & Tiziana Giorgiani

  2. CBIM, Pavia, Italy

    Silvia Panzarasa

  3. IRCCS Foundation Hospital “C. Mondino”, Pavia, Italy

    Chiara Zucchella, Michelangelo Bartolo, Elena Sinforiani & Giorgio Sandrini

  4. Dept. of Neurorehabilitation II, NEUROMED Institute IRCCS, Pozzilli, Italy

    Michelangelo Bartolo

Authors
  1. Silvana Quaglini
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  2. Silvia Panzarasa
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  3. Tiziana Giorgiani
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  4. Chiara Zucchella
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  5. Michelangelo Bartolo
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  6. Elena Sinforiani
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  7. Giorgio Sandrini
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Editor information

Editors and Affiliations

  1. University of Verona, Department of Computer Science, Ca’ Vignal 2, strada le Grazie 15, 37134, Verona, Italy

    Carlo Combi

  2. Department of Information Systems Engineering, Ben Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel

    Yuval Shahar

  3. Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Meibergdreef 15, 1105, Amsterdam, AZ, The Netherlands

    Ameen Abu-Hanna

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© 2009 Springer-Verlag Berlin Heidelberg

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Quaglini, S. et al. (2009). Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-02976-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02975-2

  • Online ISBN: 978-3-642-02976-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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