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.
Non-invasive brain-computer interface system to operate assistive devices / Cincotti, Febo; Fabio, Aloise; Simona, Bufalari; Gerwin, Schalk; Oriolo, Giuseppe; Andrea, Cherubini; Fabrizio, Davide; Babiloni, Fabio; Maria Grazia, Marciani; Donatella, Mattia. - 2007:(2007), pp. 2532-2535. (Intervento presentato al convegno 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society tenutosi a Lyon, FRANCE nel AUG 22-26, 2007) [10.1109/iembs.2007.4352844].
Non-invasive brain-computer interface system to operate assistive devices
CINCOTTI, FEBO;ORIOLO, Giuseppe;BABILONI, Fabio;
2007
Abstract
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.File | Dimensione | Formato | |
---|---|---|---|
VE_2007_11573-381468.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
421.67 kB
Formato
Adobe PDF
|
421.67 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.