Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

Patricia A Vargas; Fabricio Lima Brasil; Alistair Campbell McConnell; Marta Vallejo; David W. Corne; Adam A. Stokes; Renan C. Moioli

doi:10.1007/978-3-319-46669-9_205

Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

Patricia A Vargas
, Fabricio Lima Brasil
, Alistair Campbell McConnell
, Marta Vallejo
, David W. Corne
, Adam A. Stokes
, Renan C. Moioli

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Converging Clinical and Engineering Research on Neurorehabilitation II
Subtitle of host publication	Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain
Editors	Jaime Ibáñez, José González-Vargas, José María Azorín, Metin Akay, José Luis Pons
Publisher	Springer
Pages	1257-1262
Number of pages	6
ISBN (Print)	9783319466682
DOIs	https://doi.org/10.1007/978-3-319-46669-9_205
Publication status	Published - 2017

Publication series

Name	Biosystems & Biorobotics
Publisher	Springer
Volume	15
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

Access to Document

10.1007/978-3-319-46669-9_205

http://link.springer.com/10.1007/978-3-319-46669-9_205

Cite this

Vargas, P. A., Brasil, F. L., McConnell, A. C., Vallejo, M., Corne, D. W., Stokes, A. A., & Moioli, R. C. (2017). Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. In J. Ibáñez, J. González-Vargas, J. M. Azorín, M. Akay, & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain (pp. 1257-1262). (Biosystems & Biorobotics; Vol. 15). Springer. https://doi.org/10.1007/978-3-319-46669-9_205

Vargas, Patricia A ; Brasil, Fabricio Lima ; McConnell, Alistair Campbell et al. / Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain. editor / Jaime Ibáñez ; José González-Vargas ; José María Azorín ; Metin Akay ; José Luis Pons. Springer, 2017. pp. 1257-1262 (Biosystems & Biorobotics).

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title = "Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation",

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{\textquoteright} hands.",

author = "Vargas, \{Patricia A\} and Brasil, \{Fabricio Lima\} and McConnell, \{Alistair Campbell\} and Marta Vallejo and Corne, \{David W.\} and Stokes, \{Adam A.\} and Moioli, \{Renan C.\}",

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doi = "10.1007/978-3-319-46669-9\_205",

language = "English",

isbn = "9783319466682",

series = "Biosystems \& Biorobotics",

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Vargas, PA, Brasil, FL, McConnell, AC , Vallejo, M , Corne, DW, Stokes, AA & Moioli, RC 2017, Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. in J Ibáñez, J González-Vargas, JM Azorín, M Akay & JL Pons (eds), Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain. Biosystems & Biorobotics, vol. 15, Springer, pp. 1257-1262. https://doi.org/10.1007/978-3-319-46669-9_205

Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. / Vargas, Patricia A; Brasil, Fabricio Lima; McConnell, Alistair Campbell et al.
Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain. ed. / Jaime Ibáñez; José González-Vargas; José María Azorín; Metin Akay; José Luis Pons. Springer, 2017. p. 1257-1262 (Biosystems & Biorobotics; Vol. 15).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

TY - CHAP

T1 - Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

AU - Vargas, Patricia A

AU - Brasil, Fabricio Lima

AU - McConnell, Alistair Campbell

AU - Vallejo, Marta

AU - Corne, David W.

AU - Stokes, Adam A.

AU - Moioli, Renan C.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-46669-9_205

DO - 10.1007/978-3-319-46669-9_205

M3 - Other chapter contribution

SN - 9783319466682

T3 - Biosystems & Biorobotics

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BT - Converging Clinical and Engineering Research on Neurorehabilitation II

A2 - Ibáñez, Jaime

A2 - González-Vargas, José

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A2 - Akay, Metin

A2 - Pons, José Luis

PB - Springer

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Vargas PA, Brasil FL, McConnell AC , Vallejo M , Corne DW, Stokes AA et al. Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation. In Ibáñez J, González-Vargas J, Azorín JM, Akay M, Pons JL, editors, Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain. Springer. 2017. p. 1257-1262. (Biosystems & Biorobotics). doi: 10.1007/978-3-319-46669-9_205

Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation

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