Abstract
Stereo-electroencephalographic (SEEG) depth electrodes were used to record neural activity from deep brain structures in this study. By localizing all the electrodes into the individual brain, we found that areas that are inside of central sulcus occurred obvious hand-movement-related modulation when the subjects were performing different hand motion tasks. Then, an asynchronous brain-computer interface which enables the subject to control a prosthetic hand in real time was built. The testing results showed that, using the SEEG signals taken only from five channels, all the participants can not only control the robot prosthesis to be motionless but also can command the device to make three different hand gestures successfully with an average accuracy of 78.70±4.01%.
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