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Dysfunctional Profile for Patients in Physical Neurorehabilitation of Upper Limb

  • M. A. Villán-Villán
  • R. Pérez-Rodríguez
  • C. Gómez
  • E. Opisso
  • J. M. Tormos
  • J. Medina
  • E. J. Gómez Aguilera
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

This paper proposes a first approach to Objective Motor Assessment (OMA) methodology. Also, it introduces the Dysfunctional profile (DP) concept. DP consists of a data matrix characterizing the Upper Limb (UL) physical alterations of a patient with Acquired Brain Injury (ABI) during the rehabilitation process. This research is based on the comparison methology of UL movement between subjects with ABI and healthy subjects as part of OMA. The purpose of this comparison is to classify subjects according to their motor control and subsequently issue a functional assessment of the movement. For this purpose Artificial Neural Networks (ANN) have been used to classify patients. Different network structures are tested. The obtained classification accuracy was 95.65%. This result allows the use of ANNs as a viable option for dysfunctional assessment. This work can be considered a pilot study for further research to corroborate these results.

Keywords

Dysfunctional Profile Classification Physical Neurorehabilitation Objective Assessment Upper Limb 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • M. A. Villán-Villán
    • 1
    • 2
  • R. Pérez-Rodríguez
    • 1
    • 2
  • C. Gómez
    • 3
  • E. Opisso
    • 3
  • J. M. Tormos
    • 3
  • J. Medina
    • 3
  • E. J. Gómez Aguilera
    • 1
    • 2
  1. 1.Bioengineering and Telemedicine Centre, ETSI TelecomunicaciónUniversidad Politécnica de MadridMadridSpain
  2. 2.Biomedical Research Networking Center in BioengineeringBiomaterials and Nanomedicine (CIBER-BBN)ZaragozaSpain
  3. 3.Guttmann University Institute for Neurorehabilitation UABBarcelonaSpain

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