A High Performance MEG Based BCI Using Single Trial Detection of Human Movement Intention

摘要: Human volitional movement is orchestrated by dynamic changes in brain activity that can be detected noninvasive electrophysiological recording using electroencephalography (EEG) or magnetoencephalography (MEG). At least two kinds of movement-related observed: movement–related cortical potentials (MRCP) and event-related desynchronization/ synchronization (ERD/ERS) the alpha (8-13Hz) beta frequency band (16-30Hz) as reviewed [1-3]. Both have been observed prior to onset represent activation widespread sensorimotor networks responsible for preparation intention move. Although it may more difficult identify premovement from spatial distribu‐ tion MRCP due small amplitude signal need averaging enhance signal-to-noise ratio, oscillatory detectable even on a single trial basis. Functional mapping studies EEG MEG demonstrated somatotopical‐ ly restricted motor areas are activated before actual production certain limb movements. For example, assessed studying ERD [4-6], hand area activat‐ ed movements whereas foot Furthermore, there consistent lateralization with right predominantly left cortex move‐ ments cortex. If resolution high enough, discrimination different intentions spatiotemporal distribution should possible basis could harnessed flexible control external devices design computer interfaces (BCI).