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.
Both authors share the first authorship of this paper as the principal co-investigators of the SOPHIA project.
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Acknowledgments
The authors would like to thank the Royal Society for the Newton International Exchange award Ref NI140250.
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Vargas, P.A. et al. (2017). Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_205
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DOI: https://doi.org/10.1007/978-3-319-46669-9_205
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