Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders.

Journal: Journal of neuroengineering and rehabilitation
Published Date: Dec 18, 2021

Abstract

INTRODUCTION: Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct prediction models for the functional outcomes of robotic neurorehabilitation in adult patients.

Authors

  • Chao-Yang Kuo
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 172-1, Sec. 2, Keelung Rd., 10675, Taipei City, Taiwan.
  • Chia-Wei Liu
    Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, 252 Wuxing St, Xinyi District, 11031, Taipei City, Taiwan.
  • Chien-Hung Lai
    Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Jiunn-Horng Kang
    Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, 252 Wuxing St, Xinyi District, 11031, Taipei City, Taiwan.
  • Sung-Hui Tseng
    Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, 252 Wuxing St, Xinyi District, 11031, Taipei City, Taiwan. d301091012@tmu.edu.tw.
  • Emily Chia-Yu Su
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan. emilysu@tmu.edu.tw.

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