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Quantitative Progress Evaluation of Post-stroke Patients Using a Novel Bimanual Cable-driven Robot

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Abstract

Rehabilitation is the most effective way to reduce motor impairments in post-stroke patients. This process demands several hours with a specialized therapist. Given resources and personnel shortages, the literature reports a high interest in robotic assisted rehabilitation solutions. Recently, cable-driven robotic architectures are attracting significant research interest for post-stroke rehabilitation. However, the existing cable-driven robots are mostly unilateral devices allowing the rehabilitation only of the most affected limb. This leaves unaddressed the rehabilitation of bimanual activities, which are predominant within the common Activities of Daily Living (ADL). Thus, this paper presents a specific novel design to achieve bimanual rehabilitation tasks that has been named as BiCAR robot. Specifically, this paper provides a full insight on the BiCAR system as well as on its dedicated developed software BiEval. In particular, BiEval software has been developed as based on a serious game strategy and a virtual reality environment to track the patient exercising duration, motion ranges, speeds, and forces over time for achieving a quantitative assessment of the rehabilitation progress. Finally, the paper presents the BiCAR/BiEval capabilities by referring to a pilot Randomized Controlled Trial (RCT). The clinical trials have been used to validate the BiCAR/BiEval in terms of engineering feasibility and user acceptance to achieve an innovative cost-oriented integrated hardware/software device for the bimanual assistive rehabilitation of post-stroke patients.

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Funding

This project was partially funded by UFU, FAPEMIG, CNPQ, and CAPES (Finance Code 001).

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Authors and Affiliations

  1. Laboratory of Automation and Robotics, School of Mechanical Engineering, Federal University of Uberlândia, Uberlândia, 38400-902, Brazil

    Thiago Alves & Rogério Sales Gonçalves

  2. Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036, Rende, Italy

    Giuseppe Carbone

Authors
  1. Thiago Alves
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  2. Rogério Sales Gonçalves
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  3. Giuseppe Carbone
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Correspondence to Thiago Alves.

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Alves, T., Gonçalves, R.S. & Carbone, G. Quantitative Progress Evaluation of Post-stroke Patients Using a Novel Bimanual Cable-driven Robot. J Bionic Eng 18, 1331–1343 (2021). https://doi.org/10.1007/s42235-021-00102-y

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