The invention discloses a
rehabilitation training evaluation method and
system based on the interaction between exercise information and myoelectricity. Exoskeletons are arranged on front half parts of
rehabilitation information gloves, bending sensors and pressure sensors are arranged on the portions, corresponding to joints of the upper limbs and hands, of the
rehabilitation information gloves,multiple myoelectric electrodes are arranged on
muscle parts corresponding to joint movement, and the bending sensors, the pressure sensors and the myoelectric electrodes are separately connected witha computer; the computer uses the position, the velocity, the acceleration and the pressure as input data for neural network training,
myoelectric signal features are used as guide signals for performing neural network training, and the computer displays
visual feedback refined to the color change of each exercise
muscle through a display unit so that healthy people or patients can conduct activetraining in line with continuous movement intention according to the movement and multiple
muscle color changes. Real-
time synchronization of the intention and complex and fine movement is achieved in a real sense, and evaluation of the targeted quantification of the single muscle of the patients with different movement disorder conditions is achieved.