Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

  • Patricia A. VargasEmail author
  • Fabricio Lima Brasil
  • Alistair C. McConnell
  • Marta Vallejo
  • David W. Corne
  • Adam A. Stokes
  • Renan Cipriano Moioli
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 15)


Stroke is a devastating condition with profound implications for health economics and resources worldwide. Recent works showed that the use of brain-machine interfaces (BMI) could help movement improvements in severely affected chronic stroke patients. This work shows the feasibility and use of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA) system, able to provide more intense rehabilitation sessions and facilitate the supervision of multiple patients by a single Physiotherapist. The SOPHIA device is controlled by a BMI system and has a lightweight design and low cost. Tests with researchers showed that the system presents a reliable and stable control, besides being able to actively open the volunteers’ hands.



The authors would like to thank the Royal Society for the Newton International Exchange award Ref NI140250.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Patricia A. Vargas
    • 2
    Email author
  • Fabricio Lima Brasil
    • 1
  • Alistair C. McConnell
    • 2
  • Marta Vallejo
    • 2
  • David W. Corne
    • 2
  • Adam A. Stokes
    • 3
  • Renan Cipriano Moioli
    • 1
  1. 1.Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont InstituteMacaibaBrazil
  2. 2.Robotics Lab, School of Mathematical & Computer SciencesHeriot-Watt UniversityEdinburghUK
  3. 3.Stokes Research GroupScottish Microelectronics Centre, Edinburgh UniversityEdinburghUK

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