Electroencephalographic Functional Connectivity With the Tacit Learning System Prosthetic Hand: A Case Series Using Motor Imagery.

摘要: We previously created a prosthetic hand with tacit learning system (TLS) that automatically supports the control of forearm pronosupination. This myoelectric enables sensory feedback and flexible motor output, which allows users to move efficiently minimal burden. In this study, we investigated whether electroencephalography can be used analyze influence auxiliary function TLS on brain function. Three male participants who had sustained below-elbow amputations were prosthesis performed series physical movement trials inactivated activated. Trials video recorded sequence videos was prepared represent each individual's own use while subsequent imagery phase during (EEG) signals collected, participant asked watch both themself actively imagining depicted. Differences in mean cortical current amplitude envelope correlation (AEC) values between supplementary areas (SMA) vertex calculated. For all participants, there differences generated by tasks when activated conditions compared. The AEC higher task activation, although their distribution cortex varied three individuals. S1 other areas, increased Evidence from case indicates that, addition control, may change stimulus recognition.