Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control, therefore there is a need to develop techniques which can identify with high spatial resolution the self-modulated neural activity reflective of the actions of a helpful output device. Over the past decade EEG source imaging (ESI) techniques have proven to be an effective approach for interpreting motor intent by reconstructing the current density on the cortical surface.
The successful separation of these complex tasks in an offline setting provides confidence for developing an SMR BCI for the natural control of external devices using realistic motor imaginations.
For more information about BCI/EEG press here.
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