The invention discloses an
upper limb rehabilitation system based on biological signals. The
upper limb rehabilitation system based on the biological signals is characterized in that a brain electric cap is attached to the surface of a brain, brain electric signals can be sensed through the brain electric cap, features of the brain electric signals are extracted and classified sequentially through a CSP
feature extraction algorithm and a classifier with an adaptive LDA classification
algorithm after amplification, filtering and
noise reduction are performed on the brain electric signals, and then the brain electric signals are translated into drive instructions used to control
drive motor equipment and pneumatic
tendon auxiliary equipment, a
system central processing unit fuses and sorts the drive instructions and motion state data collected by a motion state collector, and then feeds the drive instructions and the motion state data, which are fused and sorted, back to the
drive motor equipment, the pneumatic
tendon auxiliary equipment and a mobile terminal, and therefore a mechanical arm is driven to perform
rehabilitation exercise. Work personnel remotely monitor motion and rehabilitation states of patients through the mobile terminal, and the patients also can invoke rehabilitation games in a display platform through a voice input and
output device so as to perform auxiliary
rehabilitation training. Accordingly, the
upper limb rehabilitation system based on the biological signals improves training effectiveness of the patients, and simultaneously guarantees safety and stability in the training.