Scholarlink

Cardiovascular stroke (CVS) remains a leading cause of motor disabilities globally, with increasing incidence rates posing significant challenges to rehabilitation processes. This study presents the development and initial evaluation of a robotic device for finger rehabilitation, addressing the need for robotic training solutions. Our methodology encompasses several key stages: motion capture analysis of healthy finger movements using the OptiTrack system, precise anthropometric measurements, data processing with MATLAB for range of motion quantification, CAD prototype design based on the collected data and experimental model development. The device aims to replicate natural finger flexion and extension movements. Experimental tests were conducted to assess the prototype's functionality and efficacy in simulating these movements. This research contributes to the growing field of robotic rehabilitation by providing insights into the design and implementation of finger rehabilitation devices tailored to stroke patients’ specific needs. The findings have potential implications for improving the efficiency and accessibility of finger motor recovery therapies in clinical settings.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

On the Design and Development of a Wearable Robotic Device for Fingers Rehabilitation

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Bogdan Gherman,
  • Ionut Zima,
  • Calin Vaida,
  • Alin Cremene,
  • Tiberiu Antal,
  • Jose Machado,
  • Doina Pisla

摘要

Cardiovascular stroke (CVS) remains a leading cause of motor disabilities globally, with increasing incidence rates posing significant challenges to rehabilitation processes. This study presents the development and initial evaluation of a robotic device for finger rehabilitation, addressing the need for robotic training solutions. Our methodology encompasses several key stages: motion capture analysis of healthy finger movements using the OptiTrack system, precise anthropometric measurements, data processing with MATLAB for range of motion quantification, CAD prototype design based on the collected data and experimental model development. The device aims to replicate natural finger flexion and extension movements. Experimental tests were conducted to assess the prototype's functionality and efficacy in simulating these movements. This research contributes to the growing field of robotic rehabilitation by providing insights into the design and implementation of finger rehabilitation devices tailored to stroke patients’ specific needs. The findings have potential implications for improving the efficiency and accessibility of finger motor recovery therapies in clinical settings.