Non-invasive brain-computer interface system to operate assistive devices.

Febo Cincotti, Fabio Aloise, Simona Bufalari, Gerwin Schalk, Giuseppe Oriolo, Andrea Cherubini, Fabrizio Davide, Fabio Babiloni, Maria Grazia Marciani, Donatella Mattia

Research output: Contribution to journalArticlepeer-review


In this pilot study, a system that allows disabled persons to improve or recover their mobility and communication within the surrounding environment was implemented and validated. The system is based on a software controller that offers to the user a communication interface that is matched with the individual's residual motor abilities. Fourteen patients with severe motor disabilities due to progressive neurodegenerative disorders were trained to use the system prototype under a rehabilitation program. All users utilized regular assistive control options (e.g., microswitches or head trackers) while four patients learned to operate the system by means of a non-invasive EEG-based Brain-Computer Interface, based on the subjects' voluntary modulations of EEG sensorimotor rhythms recorded on the scalp.

ASJC Scopus subject areas

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


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