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Assessment for upper limb motor function in stroke survivors using a virtual box and block test(VBBT) system: A feasibility and age-related study

  • Ying Dong
  • , Fubiao Huang*
  • , Xiaoyu Liu
  • , Min Tang
  • , Zhihua Xu
  • , Yifan Tian
  • , Yingxin Zhang
  • , Xiang Ji
  • , Jinqin Zhang
  • , Di Chen*
  • *此作品的通讯作者
  • China Rehabilitation Science Institute
  • WHO-FIC Collaborating Center in China
  • China Disabled Persons' Federation
  • Capital Medical University
  • Wenzhou Medical University
  • Shanghai Institute of Medical Device Testing
  • Beihang University
  • International University of Health and Welfare

科研成果: 期刊稿件文章同行评审

摘要

Upper limb (UL) motor function declines with age in healthy individuals, yet many technology-based assessment tools for stroke survivors lack specific age-related normative ranges and robust clinimetric validation. The present study is to investigate the cliniparameter properties of a virtual box and block test (VBBT) system for assessing UL motor function in stroke survivors, with a focus on test-retest reliability, validity and age-related range of each kinematic and kinetic parameters. A total of 113 healthy adults and 16 stroke survivors were enrolled. Four VBBT-derived parameters, including mean velocity (MV), time to peak velocity (TPV), spectral arc length of grip force (SPARC-PF), and location time (LT) were analyzed. Results showed that all VBBT parameters demonstrated good to excellent test–retest reliability (ICC = 0.68–0.75), and moderate to strong correlations to conventional clinical assessments, supporting concurrent validity. As all parameters were effected by age (r = 0.632–0.746), the normative ranges corresponding to specific ages can be calculated using a quadratic polynomial with age as the independent variable. Results indicated that the VBBT is a reliable, valid, and age-sensitive tool for assessing UL motor function after stroke. It addressed key limitations of traditional assessments and holds promise for precision rehabilitation and outcome monitoring.

源语言英语
期刊论文编号100440
期刊Medicine in Novel Technology and Devices
31
DOI
出版状态已出版 - 8月 2026

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