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Towards Upper- and Lower-Limb Rehabilitation of Post-Stroke Patients through Brain-Computer Interface, Cerebrospinal Stimulation and Robotic Devices

  • Teodiano Bastos
  • , Anacecilia C. Villa-Parra
  • , C. D. Guerrero-Méndez
  • , A. X. González-Cely
  • , S. Mehrpour
  • , F. Souza
  • , D. Delisle-Rodríguez

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This work presents the proposal of a complete system for upper- and lower-limb rehabilitation for post-stroke patients using a Brain-Computer Interface (BCI) based on Motor Imagery (MI), cerebrospinal Direct Current Stimulation (csDCS), a robotic glove, and a robotic monocycle. Common Spatial Pattern (CSP), Filter-Bank CSP (FBCSP) and Riemannian Geometry (RG) were used as feature for a classifier (Linear Discriminant Analysis – LDA) for MI recognition. Experiments were conducted with two post-stroke patients, which conducted 3-week sessions, improving their lower-limb movements. An evaluation of their upper-limb progress is being conducted right now.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer Science and Business Media Deutschland GmbH
Pages689-692
Number of pages4
DOIs
StatePublished - 2024

Publication series

NameBiosystems and Biorobotics
Volume32
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

CACES Knowledge Areas

  • 519A Therapy and Rehabilitation

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