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Movement quantification in epileptic seizures: A feasibility study for a new 3D approach

  • João Paulo Silva Cunha

      Affiliations

    • Department of Electronics, Telecommunications and Informatics/IEETA, University of Aveiro, 3810-193 Aveiro, Portugal
    • Corresponding Author InformationCorresponding author. Tel.: +351 234 370 542; fax: +351 234370545.
  • ,
  • Luís M. Paula

      Affiliations

    • Department of Electronics, Telecommunications and Informatics/IEETA, University of Aveiro, 3810-193 Aveiro, Portugal
  • ,
  • Virgílio F. Bento

      Affiliations

    • Department of Electronics, Telecommunications and Informatics/IEETA, University of Aveiro, 3810-193 Aveiro, Portugal
  • ,
  • Candas Bilgin

      Affiliations

    • Department of Neurology, University of Munich, 80539 Munich, Germany
  • ,
  • Eduardo Dias

      Affiliations

    • Department of Electronics, Telecommunications and Informatics/IEETA, University of Aveiro, 3810-193 Aveiro, Portugal
  • ,
  • Soheyl Noachtar

      Affiliations

    • Department of Neurology, University of Munich, 80539 Munich, Germany

Received 4 January 2011; received in revised form 11 October 2011; accepted 31 October 2011. published online 09 January 2012.
Corrected Proof

Abstract 

Movement quantification of the human body is presently used for analyzing deficits resulting from Central Nervous System (CNS) pathologies or exploring the insights of the human motor system behaviour. Following our previous work on 2D movement quantification of epileptic seizures, we now present a feasibility study for a newly developed 3D technique. In order to validate this new 3D approach we made a comparison with the previous method. Both techniques were tested in two different datasets: a simple motor execution performed by a volunteer and a complex motor motion induced by a real epileptic seizure. The results obtained showed, as expected, the superior robustness and precision of the 3D approach but also confirmed the validity of the 2D method, given certain constraints. We conclude that the newly developed 3D system will highly improve our capacity of pursuing the clinical research on quantitative characterization of seizure semiology to support epilepsy diagnosis.

Keywords: Epilepsy, Video–EEG, 3D analysis, Semiology

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PII: S1350-4533(11)00278-5

doi:10.1016/j.medengphy.2011.10.013

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