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Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

  • Patricia A. Vargas
  • 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)

Abstract

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.

Notes

Acknowledgments

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
  • 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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