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

Publication date

January 2012

DOI

10.1109/EMBC.2012.6346871

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

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

Abstract

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

Abstract

Extracted data

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