Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Published Date: Feb 7, 2015

Abstract

OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological gait disorders using different types of automated pattern recognition techniques.

Authors

  • Cauchy Pradhan
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany. Electronic address: cauchypradhan@gmail.com.
  • Max Wuehr
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany.
  • Farhoud Akrami
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany.
  • Maximilian Neuhaeusser
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany.
  • Sabrina Huth
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany.
  • Thomas Brandt
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany; Institute of Clinical Neurosciences, University of Munich, Munich, Germany.
  • Klaus Jahn
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany; Department of Neurology, Schön Klinik Bad Aibling, 83043 Bad Aibling, Germany.
  • Roman Schniepp
    German Center for Vertigo and Balance Disorders, DSGZ, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany; Department of Neurology, University of Munich, Campus Grosshadern, Marchioninistrasse 15, 81377 Munich, Germany.

Keywords

External Resources

Popular Topics
Recent Journals