Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback

Giulia Cisotto, Silvano Pupolin, Stefano Silvoni, Marianna Cavinato, Michela Agostini, Francesco Piccione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Motor rehabilitation after stroke injury is highly important since the number of people suffering this disease is constantly increasing. Brain-Computer Interfaces (BCIs) have been recently used in the recovery of motor functions: in particular, the closed loop involving sensorimotor brain rhythms, assist-ive-robot training and proprioceptive feedback in an operant learning fashion might be potentially one of the most effective ways to promote the neural plasticity of the ipsilesional brain hemisphere and to restore motor abilities. This study aimed at implementing such a scheme: one chronic stroke patient was recruited and underwent the experiment using both the damaged and the healthy arm, considered as control during the following analysis. Kinematic and neurophysiological outcomes confirmed the efficacy of this treatment and supported the hypothesis that a contingent force feedback can improve motor functions of the upper limb.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4379-4383
Number of pages5
ISBN (Print)9781467331227
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: 2013 Jun 92013 Jun 13

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period13/6/913/6/13

Keywords

  • brain-computer interface
  • motor rehabilitation
  • neuroplasticity
  • proprioceptive contingent force feedback
  • sensorimotor closed-loop
  • sensorimotor rhythms
  • stroke
  • upper limb

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Cisotto, G., Pupolin, S., Silvoni, S., Cavinato, M., Agostini, M., & Piccione, F. (2013). Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback. In 2013 IEEE International Conference on Communications, ICC 2013 (pp. 4379-4383). [6655255] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2013.6655255