An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity

Giulia Cisotto, Silvano Pupolin, Stefano Silvoni, Francesco Piccione

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

2 Citations (Scopus)

Abstract

The paper deals with a specific kind of BCI application implemented with the aim of recovering the reaching ability of mild impaired stroke survivors. The overall idea is to take advantage of the plasticity of the brain to make the subject artificially learn alternative neural paths to control the arm movement again, by-passing the injured area thanks to a BCI system with an EEG-related force provided as a real-time feedback during the training period. Preliminary results have shown improvements in the kinematics of the upper limb motion of a first patient that performed this experimental rehabilitative program. Then, this BCI application is expected to enter soon the daily clinical practise as a useful tool besides the standard rehabilitation therapy.

Original languageEnglish
Title of host publication2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Pages280-282
Number of pages3
DOIs
Publication statusPublished - 2013
Event2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013 - Lisbon, Portugal
Duration: 2013 Oct 92013 Oct 12

Other

Other2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
CountryPortugal
CityLisbon
Period13/10/913/10/12

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Aptitude
Biomechanical Phenomena
Upper Extremity
Plasticity
Survivors
Electroencephalography
Brain
Arm
Rehabilitation
Stroke
Learning
Patient rehabilitation
Kinematics
Feedback
Therapeutics

Keywords

  • Brain Computer Interface
  • EEG
  • reaching
  • rehabilitation
  • Stroke

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health Informatics

Cite this

Cisotto, G., Pupolin, S., Silvoni, S., & Piccione, F. (2013). An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013 (pp. 280-282). [6720684] https://doi.org/10.1109/HealthCom.2013.6720684

An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. / Cisotto, Giulia; Pupolin, Silvano; Silvoni, Stefano; Piccione, Francesco.

2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013. 2013. p. 280-282 6720684.

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

Cisotto, G, Pupolin, S, Silvoni, S & Piccione, F 2013, An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. in 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013., 6720684, pp. 280-282, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013, Lisbon, Portugal, 13/10/9. https://doi.org/10.1109/HealthCom.2013.6720684
Cisotto G, Pupolin S, Silvoni S, Piccione F. An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013. 2013. p. 280-282. 6720684 https://doi.org/10.1109/HealthCom.2013.6720684
Cisotto, Giulia ; Pupolin, Silvano ; Silvoni, Stefano ; Piccione, Francesco. / An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity. 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013. 2013. pp. 280-282
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