Gait Video-Based Prediction of Severity of Cerebellar Ataxia Using Deep Neural Networks.

Journal: Movement disorders : official journal of the Movement Disorder Society
PMID: 39840857

Abstract

BACKGROUND: Pose estimation algorithms applied to two-dimensional videos evaluate gait disturbances; however, a few studies have used this method to evaluate ataxic gait.

Authors

  • Katsuki Eguchi
    Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Hiroaki Yaguchi
    Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Hisashi Uwatoko
    Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Yuki Iida
    Department of Neurology, Hokuyukai Neurological Hospital, Sapporo, Japan.
  • Shinsuke Hamada
    Department of Neurology, Hokuyukai Neurological Hospital, Sapporo, Japan.
  • Sanae Honma
    Department of Neurology, Hokuyukai Neurological Hospital, Sapporo, Japan.
  • Asako Takei
    Department of Neurology, Hokuyukai Neurological Hospital, Sapporo, Japan.
  • Fumio Moriwaka
    Department of Neurology, Hokuyukai Neurological Hospital, Sapporo, Japan.
  • Ichiro Yabe
    Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Keywords

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