Clinical Prediction Rule for Identifying the Stroke Patients who will Obtain Clinically Important Improvement of Upper Limb Motor Function by Robot-Assisted Upper Limb.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 35500359

Abstract

BACKGROUND: The number of studies on the characteristics of patients with stroke who would benefit from robot-assisted upper limb rehabilitation is limited, and there are no clear criteria for determining which individuals should receive such treatment. The current study aimed to develop a clinical prediction rule using machine learning to identify the characteristics of patients with stroke who can the achieve minimal clinically important difference of the Fugl-Meyer Upper Extremity Evaluation (FMA-UE) after single-joint hybrid assistive limb (HAL-SJ) rehabilitation.

Authors

  • Yuji Iwamoto
    Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan. Electronic address: yuji_ooooot@yahoo.co.jp.
  • Takeshi Imura
    Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Ryo Tanaka
    Graduate School of Humanities and Social Sciences, Hiroshima University, Japan.
  • Tsubasa Mitsutake
    Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
  • Hungu Jung
    Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
  • Takahiro Suzukawa
    Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Shingo Taki
    Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Naoki Imada
    Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Tetsuji Inagawa
    Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Hayato Araki
    Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Osamu Araki
    Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.

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