The invention belongs to the field of
rehabilitation medical treatment, and particularly relates to an intelligent
rehabilitation glove
system and method based on a noninvasive
motor nerve interface, and the method comprises the steps: a wearable electromyographic
signal collection unit collects an electromyographic
signal at an arm according to a collection instruction sent by a
control unit, packages the signals in the same time period, and sends the packaged signals to the
control unit; the
control unit is used for sending a collection instruction to the wearable electromyographic
signal collection unit; meanwhile, the received original electromyographic signals are processed, feature values are obtained, feature vectors are formed, a gesture classifier is trained, the gesture category of the healthy side of the patient is recognized according to the gesture classifier, a motion instruction signal corresponding to the gesture category is output to the flexible pneumatic
rehabilitation glove, the gesture identical to the instruction is executed, and then the hand is driven to move. And active
rehabilitation training is realized. By optimizing the
layout structure, the
system is completely integrated on the diseased
side arm of the patient, and active and convenient
rehabilitation training of various actions of the diseased side hand of the hemiplegic patient is achieved.