The invention discloses a body feeling myoelectricity
artificial hand system fusing myoelectricity enhanced decoding and bionic electrical stimulation feedback. The
system comprises a myoelectricity bracelet, a main controller, an
electrical stimulator and an
artificial hand. According to the
system, an electromyographic bracelet is used for collecting
residual limb side electromyographic signals, a main controller removes electrical stimulation artifacts in the signals in real time through a comb filtering and self-adaptive filtering series
algorithm, gesture intentions are recognized online through a self-updating multi-class LDA
algorithm, and the
prosthetic hand is driven to execute corresponding actions. According to the system, a closed-loop feedback
mechanism based on a
muscle shuttle sensing model is constructed, the
muscle shuttle sensing model simulates neural coding characteristics of a
human body muscle shuttle, the real-time
stroke of a micro
servo electric cylinder of the
prosthetic hand and stress information of a
torque sensor are mapped into electrical stimulation frequency and
voltage parameters respectively, and an
electrical stimulator is controlled to apply bionic stimulation to the stump. According to the invention, closed-
loop control of myoelectricity intention recognition, artificial limb action execution, state detection and electrical stimulation feedback is realized, the problems of lack of sensory feedback, serious electrical stimulation
signal interference and the like of the existing myoelectricity artificial limb are effectively solved, a patient is helped to reconstruct ontology
perception, and the accuracy and naturalness of artificial limb control are improved.