First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface.

Javier Pascual, Francisco Velasco-Alvarez, Klaus Robert Muller, Carmen Vidaurre

Research output: Contribution to journalArticle

Abstract

In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroprosthesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.

Original languageEnglish
Pages (from-to)3269-3273
Number of pages5
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication statusPublished - 2012 Dec 1
Externally publishedYes

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Brain-Computer Interfaces
Brain computer interface
Imagery (Psychotherapy)
Electroencephalography
Upper Extremity
Electric Stimulation
Healthy Volunteers
Reinforcement
Feedback
Experiments

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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