Gehirn-Maschine-Interfaces (Brain-Machine Interfaces, BMI) zur Rehabilitation von Schlaganfall

Translated title of the contribution: BMI-training with body-internalized FES or other wireless and/or portable devices

N. Birbaumer, S. Silvoni, A. Ramos

Research output: Contribution to journalArticlepeer-review


BMI translates a brain signal to an external device without any motor involvement. BMIs have been used for rehabilitation of chronic stroke in combination with output devices such as functional electrical stimulation (FES), robots and exosceletons as a neuroprosthetic device, and physiotherapy. In addition, neurofeedback and biofeedback (usually using electromyographic (EMG) feedback) shows great promise as a rehabilitation strategy. However, very few adequately controlled studies with large enough patient samples are available, most report proof-of-principle strategies. The combination of BMI with behaviorally oriented physiotherapy to generalize BMI-treatment effects to the home environment proved to be the most efficient non-invasive rehabilitation strategy for severely paralyzed stroke victims. Future directions should test invasive.

Translated title of the contributionBMI-training with body-internalized FES or other wireless and/or portable devices
Original languageGerman
Pages (from-to)263-267
Number of pages5
JournalKlinische Neurophysiologie
Issue number4
Publication statusPublished - Dec 2013


  • brain-computer-interface
  • neurofeedback
  • neuroplasticity
  • neuroprosthesis
  • reorganisation

ASJC Scopus subject areas

  • Clinical Neurology
  • Physiology (medical)


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