A data-driven approach for detecting gait events during turning in people with Parkinson's disease and freezing of gait.

Journal: Gait & posture
Published Date: May 23, 2020

Abstract

BACKGROUND: Manual annotation of initial contact (IC) and end contact (EC) is a time consuming process. There are currently no robust techniques available to automate this process for Parkinson's disease (PD) patients with freezing of gait (FOG).

Authors

  • Benjamin Filtjens
    eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000 Leuven, Belgium; Intelligent Mobile Platform Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000 Leuven, Belgium. Electronic address: benjamin.filtjens@kuleuven.be.
  • Alice Nieuwboer
    Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001 Heverlee, Belgium.
  • Nicholas D'cruz
    Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001 Heverlee, Belgium.
  • Joke Spildooren
    Rehabilitation Research Center (REVAL), Department of Rehabilitation Sciences, Hasselt University, Agoralaan Gebouw A, 3590 Diepenbeek, Belgium.
  • Peter Slaets
    Intelligent Mobile Platform Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000 Leuven, Belgium.
  • Bart Vanrumste
    eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000 Leuven, Belgium.

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