Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological cognitive processes - such as Motor Imagery (MI) - and feed it back the user.

EEG-based brain-computer interface to support post-stroke motor rehabilitation of the upper limb / Cincotti, Febo; Pichiorri, Floriana; Arico, Pietro; Aloise, Fabio; Leotta, Francesco; DE VICO FALLANI, Fabrizio; Millan Jose Del, R.; Molinari, Marco; Mattia, Donatella. - ELETTRONICO. - (2012), pp. 4112-4115. (Intervento presentato al convegno 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 tenutosi a San Diego, CA; United States nel 2012) [10.1109/EMBC.2012.6346871].

EEG-based brain-computer interface to support post-stroke motor rehabilitation of the upper limb

Cincotti Febo
;
Pichiorri Floriana;Arico Pietro;Aloise Fabio;Leotta Francesco;De Vico Fallani Fabrizio;
2012

Abstract

Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological cognitive processes - such as Motor Imagery (MI) - and feed it back the user.
2012
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Brain; Electric Stimulation Therapy; Electroencephalography; Equipment Design; Equipment Failure Analysis; Humans; Movement Disorders; Stroke; Therapy, Computer-Assisted; Treatment Outcome; Upper Extremity; Brain-Computer Interfaces; 1707; Signal Processing; Biomedical Engineering; Health Informatics
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
EEG-based brain-computer interface to support post-stroke motor rehabilitation of the upper limb / Cincotti, Febo; Pichiorri, Floriana; Arico, Pietro; Aloise, Fabio; Leotta, Francesco; DE VICO FALLANI, Fabrizio; Millan Jose Del, R.; Molinari, Marco; Mattia, Donatella. - ELETTRONICO. - (2012), pp. 4112-4115. (Intervento presentato al convegno 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 tenutosi a San Diego, CA; United States nel 2012) [10.1109/EMBC.2012.6346871].
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